Title
ABC/123 Version X
1
Time to Practice – Week Four
PSYCH/625 Version 1
1
University of Phoenix Material
Time to Practice – Week Four
Complete Parts A, B, and C below.
Part A
Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Text Resources link.
1. Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
2. Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
3. Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the t test statistic.
a.
b.
c.
4. Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
5. Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM® SPSS® software to complete the analysis for this problem.
6. A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
7. In the following examples, indicate whether you would perform a t test of independent means or dependent means.
a. Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
b. A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
c. A group of adolescent boys was offered interp ...
Using the data in the file named Ch. 11 Data Set 2, test the resea.docxdaniahendric
Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the
t
test statistic.
Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM
®
SPSS
®
software to complete the analysis for this problem.
A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
In the following examples, indicate whether you would perform a
t
test of independent means or dependent means.
Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony.
One group of adult men was given instructions in reducing their high blood pressure whereas another was not given any instructions.
One group of men was provided access to an exercise program and tested two times over a 6-month period for heart health.
For Ch. 12 Data Set 3, comput.
Complete Parts A & BPart ASome questions in Part A r.docxluellaj
Complete
Parts A & B
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think
T
hey) Hate Statistics
.
This data is available on the student website under the Student Text Resources link.
Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the
t
test statistic.
Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM
®
SPSS
®
software to complete the analysis for this problem.
A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
In the following examples, indicate whether you would perform a
t
test of independent means or dependent means.
Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony.
One group of adult men was given instructio.
Part ASome questions in Part A require that you access data .docxbridgelandying
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think
T
hey) Hate Statistics
.
This data is available on the student website under the Student Text Resources link.
Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the
t
test statistic.
Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM
®
SPSS
®
software to complete the analysis for this problem.
A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
In the following examples, indicate whether you would perform a
t
test of independent means or dependent means.
Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony.
One group of adult men was given instructions in reducing their hi.
Final Project ScenarioA researcher has administered an anxiety.docxAKHIL969626
Final Project Scenario
A researcher has administered an anxiety survey to students enrolled in graduate level statistics courses. The survey included three subscales related to statistics anxiety: (a) interpretation anxiety, (b) test anxiety, and (c) fear of asking for help. For the items that comprised the scales, students were asked to respond using a 5 point likert-type scale ranging from (1) No Anxiety to (5) High Anxiety. Therefore, higher scores on the anxiety subscales implied higher levels of anxiety.
In addition to the statistics anxiety subscales, the survey contained a subscale related to the use of statistical software and a subscale related to self-perceived confidence concerning general computer use. Students responded to items on the statistical software subscale using a response range from (1) Strongly Disagree to (7) Strongly Agree. For the computer confidence subscale, students responded to items using a range from (1) Strongly Disagree to (5) Strongly Agree. For each of these subscales, higher scores implied higher levels of confidence.
The researcher determined the score for each subscale by computing the mean response for the items associated with the subscale. This technique resulted in subscales that had the same possible range and the items that made up the subscale.
A subsample of the researcher’s dataset contains the following variables that should be used for completing the four final projects. The variables included in the dataset are:
Variable name:
Label:
Values:
gender
1: Female
2: Male
race
1: White
2: Non-White
age
courses
Number of online courses completed
1: 0-2 courses
2: 3-7 courses
3: 8 or more courses
interpret
Anxiety associated with reading and interpreting output from analyses
test
Anxiety associated with taking a test in a statistics course
help
Anxiety associated with asking for help during a statistics course
software
Self-reported level of confidence is using statistical software
computer
Self-reported confidence in general computer use
Final Project 1:
Use SPSS to conduct the necessary analysis of the Age variable and answer each of the following questions.
Questions:
1. What is the value of n?
2. What is the mean age?
3. What is the median age?
4. What was the youngest age?
5. What was the oldest age?
6. What is the range of ages?
7. What is the standard deviation of the ages?
8. What is the value of the skewness statistic?
9. What are the values of the 25th, 50th, and 75th percentiles?
10. Present the results as they might appear in an article. This must include a table and narrative statement that provides a thorough description of the central tendency and distribution of the ages.
Final Project 2
One of the researcher’s questions involved the difference in scores on the Interpretation Anxiety subscale between male and female respondents. Use SPSS to conduct the analysis that is appropriate for this research question and answer each o ...
Data File 5Chapter NineShow all workProblem 1)A skeptica.docxtheodorelove43763
Data File 5
Chapter Nine
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased. Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level. What is the right tail percentile required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error? Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music. Students listened to two 30-second segments from “The Collection from the Best of Classical Music.” After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.” Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6. The following is the scores:
5.0
5.0
10.0
3.0
13.0
13.0
7.0
5.0
5.0
15.0
14.0
18.0
8.0
12.0
10.0
7.0
3.0
15.0
4.0
3.0
a) Conduct a one-sample t-test. What is the t-test score? What is the mean? Was the test significant? If it was significant at what P-value level was it significant?
b) What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 437 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals. To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch. The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight. The assistants identify 10 overweight and 10 normal weight Big Mackers. The assistants record the amount of time it takes them to eight the Big Mac special.
1.0
585.0
1.0
540.0
1.0
660.0
1.0
571.0
1.0
584.0
1.0
653.0
1.0
574.0
.
Chapter NineShow all workProblem 1)A skeptical paranorma.docxneedhamserena
Chapter Nine
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand.
State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours.
The principal introduces a campaign to encourage the students to watch less television.
One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level.
What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level.
What is the
right tail percentile
required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error?
Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music.
Students listened to two 30-second segments from “The Collection from the Best of Classical Music.”
After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.”
Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6.
The following is the scores:
5.0
5.0
10.0
3.0
13.0
13.0
7.0
5.0
5.0
15.0
14.0
18.0
8.0
12.0
10.0
7.0
3.0
15.0
4.0
3.0
a)
Conduct a one-sample t-test.
What is the t-test score?
What is the mean?
Was the test significant?
If it was significant at what P-value level was it significant?
b)
What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 349 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals.
To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch.
The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight.
The assistants identify 10 overweight and 10 normal weight Big Mackers.
The assistants record the amount of time it takes them to eight the Big Mac special.
1.0
585.0
1.0
540.0
1.0
660.0
1.0
571.0
1.0
584.0
1.0
653.0
1.0
574.0
1.0
569.0
1.0
619.
Chapter NineShow all workProblem 1)A skept.docxneedhamserena
Chapter Nine
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand.
State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours.
The principal introduces a campaign to encourage the students to watch less television.
One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level.
What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level.
What is the
right tail percentile
required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error?
Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music.
Students listened to two 30-second segments from “The Collection from the Best of Classical Music.”
After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.”
Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6.
The following is the scores:
5.0
5.0
10.0
3.0
13.0
13.0
7.0
5.0
5.0
15.0
14.0
18.0
8.0
12.0
10.0
7.0
3.0
15.0
4.0
3.0
Conduct a one-sample t-test.
What is the t-test score?
What is the mean?
Was the test significant?
If it was significant at what P-value level was it significant?
What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 437 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals.
To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch.
The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight.
The assistants identify 10 overweight and 10 normal weight Big Mackers.
The assistants record the amount of time it takes them to eight the Big Mac special.
1.0
585.0
1.0
540.0
1.0
660.0
1.0
571.0
1.0
584.0
1..
Using the data in the file named Ch. 11 Data Set 2, test the resea.docxdaniahendric
Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the
t
test statistic.
Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM
®
SPSS
®
software to complete the analysis for this problem.
A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
In the following examples, indicate whether you would perform a
t
test of independent means or dependent means.
Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony.
One group of adult men was given instructions in reducing their high blood pressure whereas another was not given any instructions.
One group of men was provided access to an exercise program and tested two times over a 6-month period for heart health.
For Ch. 12 Data Set 3, comput.
Complete Parts A & BPart ASome questions in Part A r.docxluellaj
Complete
Parts A & B
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think
T
hey) Hate Statistics
.
This data is available on the student website under the Student Text Resources link.
Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the
t
test statistic.
Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM
®
SPSS
®
software to complete the analysis for this problem.
A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
In the following examples, indicate whether you would perform a
t
test of independent means or dependent means.
Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony.
One group of adult men was given instructio.
Part ASome questions in Part A require that you access data .docxbridgelandying
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think
T
hey) Hate Statistics
.
This data is available on the student website under the Student Text Resources link.
Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test.
Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why?
Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the
t
test statistic.
Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected?
Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM
®
SPSS
®
software to complete the analysis for this problem.
A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why?
In the following examples, indicate whether you would perform a
t
test of independent means or dependent means.
Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective?
A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount.
A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony.
One group of adult men was given instructions in reducing their hi.
Final Project ScenarioA researcher has administered an anxiety.docxAKHIL969626
Final Project Scenario
A researcher has administered an anxiety survey to students enrolled in graduate level statistics courses. The survey included three subscales related to statistics anxiety: (a) interpretation anxiety, (b) test anxiety, and (c) fear of asking for help. For the items that comprised the scales, students were asked to respond using a 5 point likert-type scale ranging from (1) No Anxiety to (5) High Anxiety. Therefore, higher scores on the anxiety subscales implied higher levels of anxiety.
In addition to the statistics anxiety subscales, the survey contained a subscale related to the use of statistical software and a subscale related to self-perceived confidence concerning general computer use. Students responded to items on the statistical software subscale using a response range from (1) Strongly Disagree to (7) Strongly Agree. For the computer confidence subscale, students responded to items using a range from (1) Strongly Disagree to (5) Strongly Agree. For each of these subscales, higher scores implied higher levels of confidence.
The researcher determined the score for each subscale by computing the mean response for the items associated with the subscale. This technique resulted in subscales that had the same possible range and the items that made up the subscale.
A subsample of the researcher’s dataset contains the following variables that should be used for completing the four final projects. The variables included in the dataset are:
Variable name:
Label:
Values:
gender
1: Female
2: Male
race
1: White
2: Non-White
age
courses
Number of online courses completed
1: 0-2 courses
2: 3-7 courses
3: 8 or more courses
interpret
Anxiety associated with reading and interpreting output from analyses
test
Anxiety associated with taking a test in a statistics course
help
Anxiety associated with asking for help during a statistics course
software
Self-reported level of confidence is using statistical software
computer
Self-reported confidence in general computer use
Final Project 1:
Use SPSS to conduct the necessary analysis of the Age variable and answer each of the following questions.
Questions:
1. What is the value of n?
2. What is the mean age?
3. What is the median age?
4. What was the youngest age?
5. What was the oldest age?
6. What is the range of ages?
7. What is the standard deviation of the ages?
8. What is the value of the skewness statistic?
9. What are the values of the 25th, 50th, and 75th percentiles?
10. Present the results as they might appear in an article. This must include a table and narrative statement that provides a thorough description of the central tendency and distribution of the ages.
Final Project 2
One of the researcher’s questions involved the difference in scores on the Interpretation Anxiety subscale between male and female respondents. Use SPSS to conduct the analysis that is appropriate for this research question and answer each o ...
Data File 5Chapter NineShow all workProblem 1)A skeptica.docxtheodorelove43763
Data File 5
Chapter Nine
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased. Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level. What is the right tail percentile required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error? Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music. Students listened to two 30-second segments from “The Collection from the Best of Classical Music.” After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.” Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6. The following is the scores:
5.0
5.0
10.0
3.0
13.0
13.0
7.0
5.0
5.0
15.0
14.0
18.0
8.0
12.0
10.0
7.0
3.0
15.0
4.0
3.0
a) Conduct a one-sample t-test. What is the t-test score? What is the mean? Was the test significant? If it was significant at what P-value level was it significant?
b) What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 437 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals. To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch. The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight. The assistants identify 10 overweight and 10 normal weight Big Mackers. The assistants record the amount of time it takes them to eight the Big Mac special.
1.0
585.0
1.0
540.0
1.0
660.0
1.0
571.0
1.0
584.0
1.0
653.0
1.0
574.0
.
Chapter NineShow all workProblem 1)A skeptical paranorma.docxneedhamserena
Chapter Nine
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand.
State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours.
The principal introduces a campaign to encourage the students to watch less television.
One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level.
What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level.
What is the
right tail percentile
required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error?
Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music.
Students listened to two 30-second segments from “The Collection from the Best of Classical Music.”
After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.”
Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6.
The following is the scores:
5.0
5.0
10.0
3.0
13.0
13.0
7.0
5.0
5.0
15.0
14.0
18.0
8.0
12.0
10.0
7.0
3.0
15.0
4.0
3.0
a)
Conduct a one-sample t-test.
What is the t-test score?
What is the mean?
Was the test significant?
If it was significant at what P-value level was it significant?
b)
What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 349 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals.
To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch.
The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight.
The assistants identify 10 overweight and 10 normal weight Big Mackers.
The assistants record the amount of time it takes them to eight the Big Mac special.
1.0
585.0
1.0
540.0
1.0
660.0
1.0
571.0
1.0
584.0
1.0
653.0
1.0
574.0
1.0
569.0
1.0
619.
Chapter NineShow all workProblem 1)A skept.docxneedhamserena
Chapter Nine
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand.
State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours.
The principal introduces a campaign to encourage the students to watch less television.
One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level.
What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level.
What is the
right tail percentile
required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error?
Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music.
Students listened to two 30-second segments from “The Collection from the Best of Classical Music.”
After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.”
Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6.
The following is the scores:
5.0
5.0
10.0
3.0
13.0
13.0
7.0
5.0
5.0
15.0
14.0
18.0
8.0
12.0
10.0
7.0
3.0
15.0
4.0
3.0
Conduct a one-sample t-test.
What is the t-test score?
What is the mean?
Was the test significant?
If it was significant at what P-value level was it significant?
What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 437 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals.
To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch.
The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight.
The assistants identify 10 overweight and 10 normal weight Big Mackers.
The assistants record the amount of time it takes them to eight the Big Mac special.
1.0
585.0
1.0
540.0
1.0
660.0
1.0
571.0
1.0
584.0
1..
Show all workProblem 1)A skeptical paranormal researcher cla.docxboadverna
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased. Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level. What is the
right tail percentile
required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error? Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music. Students listened to two 30-second segments from “The Collection from the Best of Classical Music.” After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.” Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6. The following is the scores:
5.0 5.0
10.0 3.0
13.0 13.0
7.0 5.0
5.0 15.0
14.0 18.0
8.0 12.0
10.0 7.0
3.0 15.0
4.0 3.0
a)
Conduct a one-sample t-test. What is the t-test score? What is the mean? Was the test significant? If it was significant at what P-value level was it significant?
b)
What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 349 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals. To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch. The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight. The assistants identify 10 overweight and 10 normal weight Big Mackers. The assistants record th.
Question1The Tri-City School District has instituted a zero-tol.docxmakdul
Question1:
The Tri-City School District has instituted a zero-tolerance policy for students carrying any objects that could be used as weapons. The following data give the number of students suspended during each of the past 12 weeks for violating this school policy.
Find the mean, median, and mode.
Round your answers to two decimal places, where appropriate.
Mean = Median = Mode =
Question 2:
Recall the following from section 3.1 of the text. Mean : The mean for ungrouped data is obtained by dividing the sum of all values by the number of values in the data set. Median: The median is the value of the middle term in a data set that has been ranked in increasing order. If there is an even number of data, find the average of the two middle data values. Mode: The mode is the value that occurs with the highest frequency in a data set. If there are more than one data values with the highest frequency in a data set, we will have multiple modes. If all data values have the same frequency of occurrences, then the data set has no mode.
26,32,27,23,34,33,29,43,23,28
(a) Arrange the data in increasing order:
(b) Calculate the mean. The mean =
Question 3:
The following data represent the 2011 guaranteed salaries (in thousands of dollars) of the head coaches of the final eight teams in the 2011 NCAA Men's Basketball Championship. The data represent the 2011 salaries of basketball coaches of the following universities, entered in that order: Arizona, Butler, Connecticut, Florida, Kansas, Kentucky, North Carolina, and Virginia Commonwealth. (Source: www.usatoday.com)
1950,434,2300,3575,3376,3800,1655,418
Compute the range, variance and standard deviation for these data.
Round your answers to the nearest integer, where appropriate.
Range = $
Variance =
Standard deviation = $
Question 4:
The 2011 gross sales of all firms in a large city have a mean of $3.6 million and a standard deviation of $0.7 million. Using Chebyshev′s theorem, find a lower bound on the percentage of firms in this city that had 2011 gross sales between $0.8 and $6.4 million.
Round the answer to the nearest percent.
The lower bound on the percentage is at least %
Questiono 5:
The 2011 gross sales of all firms in a large city have a mean of $2.4 million and a standard deviation of $ 0.6 million. Using Chebyshev's theorem, find at least what percentage of firms in this city had 2011 gross sales of $1.0 to $3.8 million. Round your answer to the nearest whole number.
%
Question 6:
The following data give the weights (in pounds) lost by 15 members of a health club at the end of two months after joining the club.
5 10 8 7 24 12 5 13 11 10 21 9 8 11 18
(a) Calculate the approximate value of the 82nd percentile, denoted P82.
P82 =
(b) Find the percentile rank of 11.
Give the answer rounded to the nearest percent.
The percentile rank of 11 =
Question 7:
In a group of households, the national news is watched on one of the following networks – ABC, CBS ...
Week 6 Assignment 2
Application: Chi-Square Study: Intelligence and Self-Esteem
Previously in this course, you worked with parametric statistics like t tests, ANOVAs, and correlations. In order to use parametric procedures, your dependent variables must be measured on either an interval or a ratio scale. For this Assignment you will examine the nonparametric procedure called chi-square, which allows you to analyze nominal data compared to parametric tests that allow you to analyze interval and ratio data. Consider this example: You are curious whether males report that they like statistics more frequently than females report that they like statistics. You decide you will ask them a yes-or-no question, and that involves nominal data. You would then count the numbers of responses of yes and no for males and for females.
Nonparametric procedures allow you to compare the male responses to the female responses and determine if gender and enjoyment of statistics are independent from each other (not related). Understanding chi-square will help you to more fully understand research studies that utilize nominal variables.
Scenario:
To prepare for this Assignment, imagine that you have information about 30 other participants’ self-esteem and intelligence, but for these individuals you only have data on whether they have average or above average intelligence, and whether they have high or low self-esteem. You do not have their actual scores for each variable. The observed frequencies are reported here:
Intelligence
Average
Above Average
Self-Esteem
Low
7
8
High
5
10
Assignment:
To complete this Assignment, submit by Day 7 your answers to the following. Based on the scenario, use SPSS to determine if intelligence is related to self-esteem in your sample by computing the appropriate chi-square test. Save and submit both the SPSS data and output files.
· Explain what scale of measurement is used to measure intelligence in this example. How do you know?
· Explain what scale of measurement is used to measure self-esteem. How do you know?
· Before computing the chi-square, state your null and alternative hypotheses in words (not formulas).
· State whether this scenario requires a one-way or two-way chi-square test. Explain your answer.
· Identify the obtained χ2.
· Identify the degrees of freedom and explain how it is calculated.
· Identify the p value.
· Explain whether you should retain or reject the null hypothesis and why.
· Explain what you can determine about the relationship between self-esteem and intelligence, based on this set of data.
· Submit three documents for grading: your text (Word) document with your answers and explanations to the application questions, your SPSS Data file, and your SPSS Output file.
Week 6 Learning Resources
This page contains the Learning Resources for this week. Be sure to scroll down the page to see all of this week's assigned Learning Resources.
Required Resources
Readings
· Heiman,.
Directions The purpose of Project 8 is to prepare you for the final.docxeve2xjazwa
Directions: The purpose of Project 8 is to prepare you for the final, comprehensive exam and is set up EXACTLY the same. Questions 1 and 2 are not graded in this exercise, but are on the final. Be sure to answer them still so you can receive feedback. Once done with these, move into the calculation questions.
Be advised that you will need to decide which type of test to use in most of the problems. Please write out all pertinent information for each of the 4 steps of hypothesis testing. For the calculations, you only need to provide the values of all statistics for that test. There is no need to show work.
List the four Steps of the Hypothesis test:
Step 1 –
Step 2 –
Step 3 –
Step 4 –
This semester we have discussed the following statistical analyses.
Z-test
One-Sample
t
-test
Independent Groups
t
-test
Repeated Measures
t
-test
One-Way ANOVA
Repeated Measures ANOVA
Correlation
When do you use them? Please type your answer in the Test Used column.
ơ is given
µ is given
Groups Compared
Test Used
No
No
Looks at the same group at 2 different times or across two different conditions
Yes
Yes
Sample against population
Examines the degree to which two variables relate to one another
No
No
Looks at the same group at 2 or more times or across 2 or more conditions
No
No
Examines mean differences between two different groups
No
Yes
Sample against population
No
No
Examines mean differences between 2 or more groups
1. A researcher for a cereal company wanted to demonstrate the health benefits of eating oatmeal. A sample of 9 volunteers was obtained and each participant ate a fixed diet without any oatmeal for 30 days. At the end of the 30-day period, cholesterol was measured for each individual. Then the participants began a second 30-day period in which they repeated exactly the same diet except that they added 2 cups of oatmeal each day. After the second 30-day period, cholesterol levels were measured again and the researcher recorded the difference between the two scores for each participant. For this sample, cholesterol scores average M = 16 points lower with the oatmeal diet with SS = 538 for the difference scores.
10 points
·
Are the data sufficient to indicate a significant change in cholesterol level? Use a two-tailed test with α = .01.
·
Compute r
2
to measure the size of the treatment effect.
2. One possible explanation for why some birds migrate and others maintain year round residency in a single location is intelligence. Specifically, birds with smaller brain, relative to their body size, are not simply smart enough to find food during the winter and must migrate to warmer climates where food is easily available. Birds with bigger brains, on the other hand, are more creative and can find food even when the weather turns harsh. Following are hypothetical data similar to the actual results. The numbers represent relative brain size for the individual birds in each sample.
10 points
Non-Migrating
S.
1. A researcher is interested in whether students who attend priva.docxswannacklanell
1. A researcher is interested in whether students who attend private elementary schools do any better on s standard test of intelligence than the general population of elementary school children. A random sample of 75 students at a private elementary school is tested and has a mean intelligence test score of 103.5. The average for the general population of elementary school children is 100 (σ = 15).
a) Is this a one- or a two- tailed tests?
b) What are Ho and Ha for this study?
c) Compute zobt
d) What is zcv?
e) Should Ho be rejected? What should the researcher conclude?
f) Calculate the 95% confidence interval for the population mean, based on the sample mean.
2. Assume that the average person in America weights 150 pounds (μ). You want to determine whether colleges students weigh less than the average America, Following are the wights collected on a sample of colleges students: 120, 105, 166, 170, 145, 149, 135, 115, 168, 138.
a) Is this a one- or two-tailed test?
b) What are Ho and Ha for this study?
c) Compute tobt
d) What is tcv?
e) Should Ho be rejected? What should the researcher conclude?
3. How does a t test differ from a z test in terms of when it is used, how it is calculated, and how we determine significance?
4. According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink now than drank then. A sample of 100 adults is asked about their current drinking habits; 67 report drinking, and 33 report not drinking.
a) What is X2obt?
b) What is (are) the df for this test?
c) What is X2cv?
d) What conclusion should be drawn from these results?
5. A health magazine recently reported a study in which researchers claimed that iron supplements increased memory and problem-solving abilities in a random sample of college women. All of the women took memory and problem-solving tests at the beginning of the study, then took iron supplements, and then took the same tests again at the end of the study. What is wrong with this design? What confounds could be leading to the results of improved memory and problem-solving skills?
6. In an experimental study of the effects of exercise on stress, participants are randomly assigned to either the no exercise or the exercise conditions. Identify what type of study this is—between-, within-, or matched-participants. In addition, identify the independent and dependent variables and the control and experimental groups.
7. What are the advantages and disadvantages in the use of a posttest-only control group design versus a pretest-posttest control group design?
8. What is a confound and how is it related to interval validity?
9. What is the relationship between external validity and the college sophomore problem?
10. Explain what counterbalancing is, how it is achieved, and which confound it helps to minimize.
11. Explain what a Latin square is and how it helps with counterbalanc ...
Part ASome questions in Part A require that you access dat.docxbridgelandying
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think
T
hey) Hate Statistics
.
This data is available on the student website under the Student Text Resources link.
1.
Use the following data to answer Questions 1a and 1b.
Total no. of problems correct (out of a possible 20)
Attitude toward test taking (out of a possible 100)
17
94
13
73
12
59
15
80
16
93
14
85
16
66
16
79
18
77
19
91
a.
Compute the Pearson product-moment correlation coefficient by hand and show all your work.
b.
Construct a scatterplot for these 10 values by hand. Based on the scatterplot, would you predict the correlation to be direct or indirect? Why?
2.
Rank the following correlation coefficients on strength of their relationship (list the weakest first):
+.71
+.36
–.45
.47
–.62
3.
Use IBM
®
SPSS
®
software to determine the correlation between hours of studying and grade point average for these honor students. Why is the correlation so low?
Hours of studying
GPA
23
3.95
12
3.90
15
4.00
14
3.76
16
3.97
21
3.89
14
3.66
11
3.91
18
3.80
9
3.89
4.
Look at the following table. What type of correlation coefficient would you use to examine the relationship between ethnicity (defined as different categories) and political affiliation? How about club membership (yes or no) and high school GPA? Explain why you selected the answers you did.
Level of Measurement and Examples
Variable
X
Variable
Y
Type of correlation
Correlation being computed
Nominal (voting preference, such as Republican or Democrat)
Nominal (gender, such as male or female)
Phi coefficient
The correlation between voting preference and gender
Nominal (social class, such as high, medium, or low)
Ordinal (rank in high school graduating class)
Rank biserial coefficient
The correlation between social class and rank in high school
Nominal (family configuration, such as intact or single parent)
Interval (grade point average)
Point biserial
The correlation between family configuration and grade point average
Ordinal (height converted to rank)
Ordinal (weight converted to rank)
Spearman rank correlation coefficient
The correlation between height and weight
Interval (number of problems solved)
Interval (age in years)
Pearson product-moment correlation coefficient
The correlation between number of problems solved and the age in years
5.
When two variables are correlated (such as strength and running speed), it also means that they are associated with one another. But if they are associated with one another, then why does one not cause the other?
6.
Given the following information, use Table B.4 in Appendix B of
Statistics for People Who (Think They) Hate Statistics
to determine whether the correlations are significant and how you would interpret the results.
a.
The correlation between speed and strength for 20 women is .567. Test these results at the .01 level using a one-tailed test.
b.
The correlation between the number co.
WEEK 5 – EXERCISES Enter your answers in the spaces pr.docxpaynetawnya
WEEK 5 – EXERCISES
Enter your answers in the spaces provided. Save the file using your last name as the beginning of the file name (e.g., ruf_week5_exercises) and submit via “Assignments.” When appropriate,
show your work
. You can do the work by hand, scan/take a digital picture, and attach that file with your work.
For the following question(s): A school counselor tests the level of depression in fourth graders in a particular class of 20 students. The counselor wants to know whether the kind of students in this class differs from that of fourth graders in general at her school. On the test, a score of 10 indicates severe depression, while a score of 0 indicates no depression. From reports, she is able to find out about past testing. Fourth graders at her school usually score 5 on the scale, but the variation is not known. Her sample of 20 fifth graders has a mean depression score of 4.4. Use the .01 level of significance.
1.
The counselor calculates the unbiased estimate of the population’s variance to be 15. What is the variance of the distribution of means?
A)
15/20 = 0.75
B)
15/19 = 0.79
C)
15
2
/20 = 11.25
D)
15
2
/19 = 11.84
2.
Suppose the counselor tested the null hypothesis that fourth graders in this class were
less
depressed than those at the school generally. She figures her
t
score to be
-
.20. What decision should she make regarding the null hypothesis?
A)
Reject it
B)
Fail to reject it
C)
Postpone any decisions until a more conclusive study could be conducted
D)
There is not enough information given to make a decision
3.
Suppose the standard deviation she figures (the square root of the unbiased estimate of the population variance) is .85. What is the effect size?
A)
5/.85 = 5.88
B)
.85/5 = .17
C)
(5
-
4.4)/.85 = .71
D)
.85/(5
-
4.4) = 1.42
For the following question(s): Professor Juarez thinks the students in her statistics class this term are more creative than most students at this university. A previous study found that students at this university had a mean score of 35 on a standard creativity test. Professor Juarez finds that her class scores an average of 40 on this scale, with an estimated population standard deviation of 7. The standard deviation of the distribution of means comes out to 1.63.
4.
What is the
t
score?
A)
(40
-
35)/7 = .71
B)
(40
-
35)/1.63 = 3.07
C)
(40
-
35)/7
2
= 5/49 = .10
D)
(40
-
35)/1.63
2
= 5/2.66 = 1.88
5.
What effect size did Professor Juarez find?
A)
(40
-
35)/7 = .71
B)
(40
-
35)/1.63 = 3.07
C)
(40
-
35)/7
2
= 5/49 = .10
D)
(40
-
35)/1.63
2
= 5/2.66 = 1.88
6.
If Professor Juarez had 30 students in her class, and she wanted to test her hypothesis using the 5% level of significance, what cutoff
t
score would she use? (You should be able to figure this out without a table because only one answer is in the correct region.)
A)
304.11
B)
1.699.
PSYCH 625 MENTOR Education Your Life / psych625mentor.comkopiko27
FOR MORE CLASSES VISIT
www.psych625mentor.com
PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet
PSYCH 625 Week 1 Individual Assignment Reliability and Validity Matrix
PSYCH 625 Week 1 Individual Assignment Time to Practice – Week One
ANOVA is a hypothesis testing technique used to compare the equali.docxjustine1simpson78276
ANOVA is a hypothesis testing technique used to compare the equality of means for two or more groups; for example, it can be used to test that the mean number of computer chips produced by a company on each of the day, evening, and night shifts is the same. Give an example of an application of ANOVA in an industrial, operations, or manufacturing setting that is different from the examples provided in the overview. Discuss and share this information with your classmates.
In responding to your peers, select responses that use an ANOVA application that is different from your own. Are the results of the ANOVA application statistically significant? Why are the results significant or not significant? Explain your reasoning. Consider how ANOVA could be applied to the final project case study.
Support your initial posts and response posts with scholarly sources cited in APA style.
https://statistics4beginners.wordpress.com/2015/02/18/how-to-calculate-anova-in-excel-2013/
PLEASE GIVE A 1-2 PARAGRAPH RESPONSE TO THE FOLLOWING:
1.
In this module, our goal is to learn the statistical process of comparing several population means through a procedure called "analysis of variance", or ANOVA. ANOVA uses the variance from the mean of 2 or more sample populations to see if there is a statistically significant difference between them (Sharpe, DeVeaux, Velleman, 2016). We've learned that this is a valuable tool in all sorts of areas of study, including automotive, chemical, and medical industries.
There are many practical examples of ANOVA throughout business. As previously mentioned, the medical field can benefit from the use of this statistics tool. For example, a drug company may be interested in the results of clinical trials for a few new drugs they plan to release. Medicine A, B, and C are all now in the clinical testing phase, so the instances in which each cures a specific ailment can be summed up using ANOVA. Each of the individual drugs, through the course of multiple trials, will have a number of "cured" patients. The following is an example of what the results may be, in table format:
A B C
Trial 1 4 9 2
2 5 8 7
3 7 1 6
4 6 1 5
5 6 4 9
Using ANOVA to evaluate the variance from the mean for each trial, the ultimate goal would be to compare each trial to one another. By comparing the variance, we can say, with statistical confidence, that one medicine may be more effect.
Deadline 6 PM Friday September 27, 201310 Project Management Que.docxedwardmarivel
Deadline 6 PM Friday September 27, 2013
10 Project Management Questions with sub-questions under each question. A word document is provided with all questions and directions.
Problem 1
The following data were obtained from a project to create a new portable electronic.
Activity
Duration
Predecessors
A
5 Days
---
B
6 Days
---
C
8 Days
---
D
4 Days
A, B
E
3 Days
C
F
5 Days
D
G
5 Days
E, F
H
9 Days
D
I
12 Days
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
What is the Scheduled Completion of the Project?
b)
What is the Critical Path of the Project?
c)
What is the ES for Activity D?
d)
What is the LS for Activity G?
e)
What is the EF for Activity B?
f)
What is the LF for Activity H?
g)
What is the float for Activity I?
Problem 2
The following data were obtained from a project to build a pressure vessel:
Activity
Duration
Predecessors
A
6 weeks
---
B
6 weeks
---
C
5 weeks
B
D
4 weeks
A, C
E
5 weeks
B
F
7 weeks
D, E, G
G
4 weeks
B
H
8 weeks
F
I
5 weeks
G
J
3 week
I
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 3
The following data were obtained from a project to design a new software package:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
6 Days
A
D
4 Days
C, B
E
5 Days
A
F
4 Days
D, E, G
G
4 Days
B, C
H
3 Day
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path(s)
c)
What is the slack time (float) for activity B?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 4
The following data were obtained from an in-house MIS project:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
5 Days
A
D
4 Days
B
E
5 Days
B
F
3 Day
C, D
G
7 Days
C, D
H
6 Days
E, F, G
I
9 Days
E, F
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e)
What is the slack time (float) for activity E?
f)
What is the slack time (float) for activity F?
PROBLEM 5
Use the network diagram below and the additional information provided to answer the corresponding questions.
a) Give the crash cost per day per activity.
b) Which activities should be crash.
DEADLINE 15 HOURS
6 PAGES
UNDERGRADUATE
COURSEWORK
HARVARD FORMATING
DOUBLE SPACING
INSTRUCTIONS
This assignment seeks to assess your ability to:
• Critically evaluate and discuss the major developments during 2017 in corporate taxation from the perspective of multinational companies and their auditors, governments and other stakeholders.
• Apply appropriate knowledge, analytical techniques and concepts to problems and issues arising from both familiar and unfamiliar situations;
• Think critically, examine problems and issues from a number of perspectives, challenge viewpoints, ideas and concepts and make well-reasoned judgements;
• Present, discuss and defend ideas, concepts and views effectively through formal language.
Background:
In the final weeks of 2017 a leading tax expert suggested that “a whirlwind of international tax changes has swept the globe”. He also went on to say that for companies operating in Europe there is no end in sight to the pace of change. The final recommendations on base erosion and profit shifting (BEPS) from the OECD have been endorsed by the EU. In fact a number of European governments have already implemented large parts of these proposals ahead of schedule.
The third quarter of the year saw the European Commission in the spotlight with its landmark decision that the technology giant Apple must repay no less than €13 billion of taxes to the Irish government. This ruling was based on the view that the favourable tax treatment was effectively state aid and hence the Irish government had broken EU law. At the same time countries across the world continue to compete by reducing the rate of corporate taxes. Many commentators suggest that the UK government will cut the corporate tax rate to 10% if the country fails to negotiate a trade deal with the European Union as part of the Brexit process. In a separate development earlier in the year the government of Hungary announced it would become the tax haven of Central Europe with a plan to reduce corporation tax to a mere 9%.
Required:
You are to write a report for the Board of Directors of a listed global company that has manufacturing and R&D activities across Europe, Asia, Australasia and America. The report should assume that the directors have detailed knowledge of the group activities but are not taxation specialists. However they would be aware of issues relating to corporate governance, transparency and reputational risks.
The report should cover the following aspects:
Evaluate the major developments that occurred in corporate taxation in 2017 and the issues that may arise in the current year.
Discuss the implications for the group in regard to the relationship with its auditors.
Consider how other stakeholders and non-governmental organisations (NGOs) may be affected by changes in the level of corporate taxes and their possible reaction.
The resources below are on Blackboard and provide an introduction to the topic.
“Corpor.
De nada.El gusto es mío.Encantada.Me llamo Pepe.Muy bien, grac.docxedwardmarivel
De nada. El gusto es mío. Encantada. Me llamo Pepe.
Muy bien, gracias. Nada. Nos vemos. Soy de Argentina.
1. ¿Cómo te llamas?
2. ¿Qué hay de nuevo?
3. ¿De dónde eres?
4. Adiós.
5. ¿Cómo está usted?
6. Mucho gusto.
7. Te presento a la señora Díaz.
8. Muchas gracias.
Modelo ¡Hola! Buenos días.
Adiós cómo Chau de eres
es está gusto Hasta Le
mío Muy Soy usted vemos
1. ANA Buenos días, señor González. ¿Cómo (1) (2) ?
SR. GONZÁLEZ (3) bien, gracias. Y tú, ¿(4) estás?
ANA Regular. (5) presento a Antonio.
SR. GONZÁLEZ Mucho (6) , Antonio.
ANTONIO El gusto (7) (8) .
SR. GONZÁLEZ ¿De dónde (9) , Antonio?
ANTONIO (10) (11) México.
ANA (12) luego, señor González.
SR. GONZÁLEZ Nos (13) , Ana.
ANTONIO (14) , señor González.
• • Hasta mañana.
• Nos vemos.
• Buenos días.
• Hasta pronto.
• • ¿Qué tal?
• Regular.
• ¿Qué pasa?
• ¿Cómo estás?
• • Puerto Rico
• Washington
• México
• Estados Unidos
• • Muchas gracias.
• Muy bien, gracias.
• No muy bien.
• Regular.
• • ¿De dónde eres?
• ¿Cómo está usted?
• ¿De dónde es usted?
• ¿Cómo se llama usted?
• • Chau.
• Buenos días.
• Hola.
• ¿Qué tal?
Modelo un papel
unos papeles
1. : unas fotografías
2. : un día
3. : un cuaderno
4. : unos pasajeros
5. : una computadora
6. : unas escuelas
7. : unos videos
8. : un programa
9. : unos autobuses
10. : una palabra
Modelo el señor Díaz
Addresing him: usted
Talking about him: él
1. Don Francisco
Addressing him:
Talking about him:
2. Jimena y Marissa
Addressing them:
Talking about them:
3. Maru y Miguel
Addressing them:
Talking about them:
4. la profesora
Addressing her:
Talking about her:
5. un estudiante
Addressing him:
Talking about him:
6. el director de una escuela
Addressing him:
Talking about him:
7. tres chicas
Addressing them:
Talking about them:
8. un pasajero de autobús
Addressing him:
Talking about him:
9. Juan Carlos y Felipe
Addressing them:
Talking about them:
10. una turista
Addressing her:
Talking about her:
Modelo Ustedes son profesores.
Nosotros somos profesores.
1. Nosotros somos estudiantes.
Ustedes .
2. Usted es de Puerto Rico.
Ella .
3. Nosotros somos conductores.
Ellos .
4. Yo soy turista.
Tú .
5. Ustedes son de México.
Nosotras .
6. Ella es profesora.
Yo .
7. Tú eres de España.
Él .
8. Ellos son pasajeros.
Ellas
Modelo Yo soy Jorge.
1. Hola, me llamo Jorge y de Cuba. Pilar y Nati de España. Pedro, Juan y Paco de México. Todos estudiantes. La señorita Blasco de San Antonio. Ella la profesora. Luis el conductor. Él de Puerto Rico. Ellos de los Estados Unidos. El autobús de la agencia Marazul. Todos pasajeros de la agencia de viajes Marazul. Perdón, ¿de dónde tú, quién ella y de quién las maletas?
Modelo nombre / el pasajero
Es el nombre del pasajero.
.
DDL 24 hours reading the article and writing a 1-page doubl.docxedwardmarivel
DDL:
24 hours
reading the article and writing a
1-page double space
annotated bibliography
including:
1.reference
2.specify the concept you will use
3.explain its significance to the course
4.specify how you'll use it in your project
see the article and project inf below
.
*
DCF valuation methodSuper-normal growth modelApplications: single CF, annuity, perpetuity, uneven CFs, bond, stock, etc.
LECTURE 2 Valuation Basics
(Chapters 4, 6, 7)
*
Amount of cash flows expectedRisk of the cash flows Timing of the cash flow stream
Factors that Determine Value
*
DCF Method: General Formula
Finding PVs is discounting. The discount factor i is determined by the cost of capital invested.
*
10%
Single Cash Flow
100
0
1
2
3
PV = ?
What’s the PV of $100 due in 3 years if i = 10%?
*
Financial Calculator Setup
BGN END
P/Y 1
FORMAT: DEC 4 or larger
*
Financial Calculator
Solution
s
N I/YR PV PMTFV
?
N = 3, I/YR = 10, PMT = 0, FV = 100
CPT, PV
-75.13
/
INPUTS
OUTPUT
*
Spreadsheet
.
DDBA 8307 Week 2 Assignment Exemplar
John Doe[footnoteRef:1] [1: Type your name here]
DDBA 8307-6[footnoteRef:2] [2: Type in DDBA section number (e.g. DDBA 8307 – 6) ]
Dr. Jane Doe[footnoteRef:3] [3: Enter faculty name here.]
1
Scales of Measurement
Type text here. Discuss the implications of “scales of measurement” in quantitative research. Be sure to use a minimum of two citations to support your position(s). Be sure to review the “Scales of Measurement” media from Week 1. This section should be no more than two paragraphs.
Research Question
What are the means, standard deviations, frequencies, and percentages of the Lesson 21 Exercise File variables?
Presentation of Findings
I analyzed data from Lesson 21 Exercise File [footnoteRef:4]. In this section, I present descriptive statistics for the study quantitative and qualitative variables. Appropriate APA tables and figures accompany the analysis[footnoteRef:5]. [4: Insert the appropriate file name. ] [5: The tables and figures from your SPSS output will need to be copied and pasted in the appropriate location.]
Descriptive Statistics[footnoteRef:6] [6: Detailed information can be found in Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables,” and Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables,” in the Green and Salkind text.
]
Descriptive statistics were run for the quantitative and qualitative variables in the Week 1 Assignment data set. Table 1 depicts the means and standard deviations for the quantitative data. Figure 1 depicts a histogram for the GPA variable. Table 2 depicts the frequencies and percentages for the qualitative (categorical) data. Figure 2 depicts a pie chart for the ethnic variable. Appendix 1 depicts the SPSS output.
Table 1[footnoteRef:7] [7: This is an example of an APA-formatted descriptive statistics table. Refer to Sections 5.01-5.19, in the APA Manual for detailed information on APA tables. The descriptive statistics table here includes the appropriate information derived from the SPSS output that is to be pasted as an appendix. Do not split tables across pages. Note: The numbers in the SPSS output presented here are fictitious numbers and do not represent correct numbers in the data set you will use for this application.
]
Means (M) and Standard Deviations (SD) for Study
Quantitative Variables (N = 105)
Variable[footnoteRef:8] [8: You would simply add rows to the table to accommodate the variables you have used in the analysis (i.e., variable 3, variable 4, etc.). Hint: Use the Microsoft Word Table feature.
]
M
SD
GPA
2.78
.76
Final
61.48
7.94
Percent
80.34
12.12
Figure 1. Histogram of GPA distribution.
Table 2[footnoteRef:9] [9: Recall from Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (Green & Salkind, 2017), frequencies and percentages are reported for qualitative (nominal) variables. Note: Frequency and percentages are the only c.
DBM380 v14Create a DatabaseDBM380 v14Page 2 of 2Create a D.docxedwardmarivel
DBM/380 v14
Create a Database
DBM/380 v14
Page 2 of 2Create a Database
The following assignment is based on the business scenario for which you created both an entity-relationship diagram and a normalized database design in Week 2.
For this assignment, you will create multiple related tables that match your normalized database design. In other words, you will implement a physical design (an actual, usable database) based on a logical design.
Refer to the linked W3Schools.com articles “SQL CREATE TABLE Statement,” “SQL PRIMARY KEY Constraint,” “SQL FOREIGN KEY Constraint,” and “SQL INSERT INTO Statement” for help in completing this assignment.
Note: In the industry, even the most carefully thought out database designs can contain mistakes. Feel free to correct in your tables any mistakes you notice in your normalized database design. Also, note that in Microsoft® Access®, you follow the steps below to launch the SQL editor:
Figure 1. To create a SQL query in Microsoft® Access®, begin by clicking the CREATE tab.
To Complete This Assignment:
1. Use the CREATE TABLE statement to create each table in your design. Note that a table in a RDMS corresponds to an entity in an entity-relationship diagram. Recommended tables for this assignment are CUSTOMER, ORDER, ORDER_DETAIL, PRODUCT, EMPLOYEE, and STORE.
2. As part of each CREATE TABLE statement, define all of the columns, or fields, that you want each particular table to contain. Give them short, meaningful names and include constraints; that is, describe what type of data each column (field) is allowed to hold and any other constraints, such as size, range, or uniqueness.
3. Note that any field you marked as a unique identifier in your normalized database design is a key field. Key fields must be described as both UNIQUE and NOT NULL, which means a value must exist for each record and that value must be unique across all records.
4. After you have created all six tables, including relationships between the tables as appropriate (matching the primary key in one table to a foreign key in another table), use the INSERT INTO statement to insert 10 records into each of your tables. You will need to make up the data you insert into your tables. For example, to insert one record into the CUSTOMER table, you will need to invent a customer number, a customer name, and so on—one value for each of the fields you defined for the CUSTOMER table—to insert into the table.
5. To ensure that your INSERT INTO statements succeeded in populating your tables, use the SELECT statement described in Ch. 7, “Introduction to Structured Query Language,” in Database Systems: Design, Implementation, and Management.to retrieve the records you inserted. For example, to see all 10 records you inserted into the CUSTOMER table, you might apply the following SQL statement: SELECT * FROM CUSTOMER;
After you have created all six tables and populated ten records in each table, submit to the Assignment Files tab the database containin.
DB3.1 Mexico corruptionDiscuss the connection between pol.docxedwardmarivel
DB3.1: Mexico corruption
Discuss the connection between politics, corruption, and criminal organizations in Mexico. How would you go about separating these? Give examples and be specific. Support your ideas on why you would do these specific measures.
DB3.2: Collapse of Soviet Union
How has the collapse of the Soviet Union fostered pirate capitalism and organized crime? Be specific with your answer and support your answer. Do you think that if the Soviet Union did not collapse pirate capitalism and organized crime would still flourish? Support your opinion.
300 words per post
.
More Related Content
Similar to TitleABC123 Version X1Time to Practice – Week Four .docx
Show all workProblem 1)A skeptical paranormal researcher cla.docxboadverna
Show all work
Problem 1)
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
Problem 2)
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased. Formulate the null and alternative hypotheses for the study described.
Problem 3)
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
Problem 4)
A two-tailed test is conducted at the 5% significance level. What is the
right tail percentile
required to reject the null hypothesis?
Problem 5)
What is the difference between an Type I and a Type II error? Provide an example of both.
Chapter 10
Show all work
Problem 1)
Steven collected data from 20 college students on their emotional responses to classical music. Students listened to two 30-second segments from “The Collection from the Best of Classical Music.” After listening to a segment, the students rated it on a scale from 1 to 10, with 1 indicating that it “made them very sad” to 10 indicating that it “made them very happy.” Steve computes the total scores from each student and created a variable called “hapsad.” Steve then conducts a one-sample t-test on the data, knowing that there is an established mean for the publication of others that have taken this test of 6. The following is the scores:
5.0 5.0
10.0 3.0
13.0 13.0
7.0 5.0
5.0 15.0
14.0 18.0
8.0 12.0
10.0 7.0
3.0 15.0
4.0 3.0
a)
Conduct a one-sample t-test. What is the t-test score? What is the mean? Was the test significant? If it was significant at what P-value level was it significant?
b)
What is your null and alternative hypothesis? Given the results did you reject or fail to reject the null and why?
(Use instructions on page 349 of your textbook, under Hypothesis Tests with the t Distribution to conduct SPSS or Excel analysis).
Problem 2)
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals. To test this hypothesis, she has two assistants sit in a McDonald’s restaurant and identify individuals who order the Big Mac special for lunch. The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight. The assistants identify 10 overweight and 10 normal weight Big Mackers. The assistants record th.
Question1The Tri-City School District has instituted a zero-tol.docxmakdul
Question1:
The Tri-City School District has instituted a zero-tolerance policy for students carrying any objects that could be used as weapons. The following data give the number of students suspended during each of the past 12 weeks for violating this school policy.
Find the mean, median, and mode.
Round your answers to two decimal places, where appropriate.
Mean = Median = Mode =
Question 2:
Recall the following from section 3.1 of the text. Mean : The mean for ungrouped data is obtained by dividing the sum of all values by the number of values in the data set. Median: The median is the value of the middle term in a data set that has been ranked in increasing order. If there is an even number of data, find the average of the two middle data values. Mode: The mode is the value that occurs with the highest frequency in a data set. If there are more than one data values with the highest frequency in a data set, we will have multiple modes. If all data values have the same frequency of occurrences, then the data set has no mode.
26,32,27,23,34,33,29,43,23,28
(a) Arrange the data in increasing order:
(b) Calculate the mean. The mean =
Question 3:
The following data represent the 2011 guaranteed salaries (in thousands of dollars) of the head coaches of the final eight teams in the 2011 NCAA Men's Basketball Championship. The data represent the 2011 salaries of basketball coaches of the following universities, entered in that order: Arizona, Butler, Connecticut, Florida, Kansas, Kentucky, North Carolina, and Virginia Commonwealth. (Source: www.usatoday.com)
1950,434,2300,3575,3376,3800,1655,418
Compute the range, variance and standard deviation for these data.
Round your answers to the nearest integer, where appropriate.
Range = $
Variance =
Standard deviation = $
Question 4:
The 2011 gross sales of all firms in a large city have a mean of $3.6 million and a standard deviation of $0.7 million. Using Chebyshev′s theorem, find a lower bound on the percentage of firms in this city that had 2011 gross sales between $0.8 and $6.4 million.
Round the answer to the nearest percent.
The lower bound on the percentage is at least %
Questiono 5:
The 2011 gross sales of all firms in a large city have a mean of $2.4 million and a standard deviation of $ 0.6 million. Using Chebyshev's theorem, find at least what percentage of firms in this city had 2011 gross sales of $1.0 to $3.8 million. Round your answer to the nearest whole number.
%
Question 6:
The following data give the weights (in pounds) lost by 15 members of a health club at the end of two months after joining the club.
5 10 8 7 24 12 5 13 11 10 21 9 8 11 18
(a) Calculate the approximate value of the 82nd percentile, denoted P82.
P82 =
(b) Find the percentile rank of 11.
Give the answer rounded to the nearest percent.
The percentile rank of 11 =
Question 7:
In a group of households, the national news is watched on one of the following networks – ABC, CBS ...
Week 6 Assignment 2
Application: Chi-Square Study: Intelligence and Self-Esteem
Previously in this course, you worked with parametric statistics like t tests, ANOVAs, and correlations. In order to use parametric procedures, your dependent variables must be measured on either an interval or a ratio scale. For this Assignment you will examine the nonparametric procedure called chi-square, which allows you to analyze nominal data compared to parametric tests that allow you to analyze interval and ratio data. Consider this example: You are curious whether males report that they like statistics more frequently than females report that they like statistics. You decide you will ask them a yes-or-no question, and that involves nominal data. You would then count the numbers of responses of yes and no for males and for females.
Nonparametric procedures allow you to compare the male responses to the female responses and determine if gender and enjoyment of statistics are independent from each other (not related). Understanding chi-square will help you to more fully understand research studies that utilize nominal variables.
Scenario:
To prepare for this Assignment, imagine that you have information about 30 other participants’ self-esteem and intelligence, but for these individuals you only have data on whether they have average or above average intelligence, and whether they have high or low self-esteem. You do not have their actual scores for each variable. The observed frequencies are reported here:
Intelligence
Average
Above Average
Self-Esteem
Low
7
8
High
5
10
Assignment:
To complete this Assignment, submit by Day 7 your answers to the following. Based on the scenario, use SPSS to determine if intelligence is related to self-esteem in your sample by computing the appropriate chi-square test. Save and submit both the SPSS data and output files.
· Explain what scale of measurement is used to measure intelligence in this example. How do you know?
· Explain what scale of measurement is used to measure self-esteem. How do you know?
· Before computing the chi-square, state your null and alternative hypotheses in words (not formulas).
· State whether this scenario requires a one-way or two-way chi-square test. Explain your answer.
· Identify the obtained χ2.
· Identify the degrees of freedom and explain how it is calculated.
· Identify the p value.
· Explain whether you should retain or reject the null hypothesis and why.
· Explain what you can determine about the relationship between self-esteem and intelligence, based on this set of data.
· Submit three documents for grading: your text (Word) document with your answers and explanations to the application questions, your SPSS Data file, and your SPSS Output file.
Week 6 Learning Resources
This page contains the Learning Resources for this week. Be sure to scroll down the page to see all of this week's assigned Learning Resources.
Required Resources
Readings
· Heiman,.
Directions The purpose of Project 8 is to prepare you for the final.docxeve2xjazwa
Directions: The purpose of Project 8 is to prepare you for the final, comprehensive exam and is set up EXACTLY the same. Questions 1 and 2 are not graded in this exercise, but are on the final. Be sure to answer them still so you can receive feedback. Once done with these, move into the calculation questions.
Be advised that you will need to decide which type of test to use in most of the problems. Please write out all pertinent information for each of the 4 steps of hypothesis testing. For the calculations, you only need to provide the values of all statistics for that test. There is no need to show work.
List the four Steps of the Hypothesis test:
Step 1 –
Step 2 –
Step 3 –
Step 4 –
This semester we have discussed the following statistical analyses.
Z-test
One-Sample
t
-test
Independent Groups
t
-test
Repeated Measures
t
-test
One-Way ANOVA
Repeated Measures ANOVA
Correlation
When do you use them? Please type your answer in the Test Used column.
ơ is given
µ is given
Groups Compared
Test Used
No
No
Looks at the same group at 2 different times or across two different conditions
Yes
Yes
Sample against population
Examines the degree to which two variables relate to one another
No
No
Looks at the same group at 2 or more times or across 2 or more conditions
No
No
Examines mean differences between two different groups
No
Yes
Sample against population
No
No
Examines mean differences between 2 or more groups
1. A researcher for a cereal company wanted to demonstrate the health benefits of eating oatmeal. A sample of 9 volunteers was obtained and each participant ate a fixed diet without any oatmeal for 30 days. At the end of the 30-day period, cholesterol was measured for each individual. Then the participants began a second 30-day period in which they repeated exactly the same diet except that they added 2 cups of oatmeal each day. After the second 30-day period, cholesterol levels were measured again and the researcher recorded the difference between the two scores for each participant. For this sample, cholesterol scores average M = 16 points lower with the oatmeal diet with SS = 538 for the difference scores.
10 points
·
Are the data sufficient to indicate a significant change in cholesterol level? Use a two-tailed test with α = .01.
·
Compute r
2
to measure the size of the treatment effect.
2. One possible explanation for why some birds migrate and others maintain year round residency in a single location is intelligence. Specifically, birds with smaller brain, relative to their body size, are not simply smart enough to find food during the winter and must migrate to warmer climates where food is easily available. Birds with bigger brains, on the other hand, are more creative and can find food even when the weather turns harsh. Following are hypothetical data similar to the actual results. The numbers represent relative brain size for the individual birds in each sample.
10 points
Non-Migrating
S.
1. A researcher is interested in whether students who attend priva.docxswannacklanell
1. A researcher is interested in whether students who attend private elementary schools do any better on s standard test of intelligence than the general population of elementary school children. A random sample of 75 students at a private elementary school is tested and has a mean intelligence test score of 103.5. The average for the general population of elementary school children is 100 (σ = 15).
a) Is this a one- or a two- tailed tests?
b) What are Ho and Ha for this study?
c) Compute zobt
d) What is zcv?
e) Should Ho be rejected? What should the researcher conclude?
f) Calculate the 95% confidence interval for the population mean, based on the sample mean.
2. Assume that the average person in America weights 150 pounds (μ). You want to determine whether colleges students weigh less than the average America, Following are the wights collected on a sample of colleges students: 120, 105, 166, 170, 145, 149, 135, 115, 168, 138.
a) Is this a one- or two-tailed test?
b) What are Ho and Ha for this study?
c) Compute tobt
d) What is tcv?
e) Should Ho be rejected? What should the researcher conclude?
3. How does a t test differ from a z test in terms of when it is used, how it is calculated, and how we determine significance?
4. According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink now than drank then. A sample of 100 adults is asked about their current drinking habits; 67 report drinking, and 33 report not drinking.
a) What is X2obt?
b) What is (are) the df for this test?
c) What is X2cv?
d) What conclusion should be drawn from these results?
5. A health magazine recently reported a study in which researchers claimed that iron supplements increased memory and problem-solving abilities in a random sample of college women. All of the women took memory and problem-solving tests at the beginning of the study, then took iron supplements, and then took the same tests again at the end of the study. What is wrong with this design? What confounds could be leading to the results of improved memory and problem-solving skills?
6. In an experimental study of the effects of exercise on stress, participants are randomly assigned to either the no exercise or the exercise conditions. Identify what type of study this is—between-, within-, or matched-participants. In addition, identify the independent and dependent variables and the control and experimental groups.
7. What are the advantages and disadvantages in the use of a posttest-only control group design versus a pretest-posttest control group design?
8. What is a confound and how is it related to interval validity?
9. What is the relationship between external validity and the college sophomore problem?
10. Explain what counterbalancing is, how it is achieved, and which confound it helps to minimize.
11. Explain what a Latin square is and how it helps with counterbalanc ...
Part ASome questions in Part A require that you access dat.docxbridgelandying
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think
T
hey) Hate Statistics
.
This data is available on the student website under the Student Text Resources link.
1.
Use the following data to answer Questions 1a and 1b.
Total no. of problems correct (out of a possible 20)
Attitude toward test taking (out of a possible 100)
17
94
13
73
12
59
15
80
16
93
14
85
16
66
16
79
18
77
19
91
a.
Compute the Pearson product-moment correlation coefficient by hand and show all your work.
b.
Construct a scatterplot for these 10 values by hand. Based on the scatterplot, would you predict the correlation to be direct or indirect? Why?
2.
Rank the following correlation coefficients on strength of their relationship (list the weakest first):
+.71
+.36
–.45
.47
–.62
3.
Use IBM
®
SPSS
®
software to determine the correlation between hours of studying and grade point average for these honor students. Why is the correlation so low?
Hours of studying
GPA
23
3.95
12
3.90
15
4.00
14
3.76
16
3.97
21
3.89
14
3.66
11
3.91
18
3.80
9
3.89
4.
Look at the following table. What type of correlation coefficient would you use to examine the relationship between ethnicity (defined as different categories) and political affiliation? How about club membership (yes or no) and high school GPA? Explain why you selected the answers you did.
Level of Measurement and Examples
Variable
X
Variable
Y
Type of correlation
Correlation being computed
Nominal (voting preference, such as Republican or Democrat)
Nominal (gender, such as male or female)
Phi coefficient
The correlation between voting preference and gender
Nominal (social class, such as high, medium, or low)
Ordinal (rank in high school graduating class)
Rank biserial coefficient
The correlation between social class and rank in high school
Nominal (family configuration, such as intact or single parent)
Interval (grade point average)
Point biserial
The correlation between family configuration and grade point average
Ordinal (height converted to rank)
Ordinal (weight converted to rank)
Spearman rank correlation coefficient
The correlation between height and weight
Interval (number of problems solved)
Interval (age in years)
Pearson product-moment correlation coefficient
The correlation between number of problems solved and the age in years
5.
When two variables are correlated (such as strength and running speed), it also means that they are associated with one another. But if they are associated with one another, then why does one not cause the other?
6.
Given the following information, use Table B.4 in Appendix B of
Statistics for People Who (Think They) Hate Statistics
to determine whether the correlations are significant and how you would interpret the results.
a.
The correlation between speed and strength for 20 women is .567. Test these results at the .01 level using a one-tailed test.
b.
The correlation between the number co.
WEEK 5 – EXERCISES Enter your answers in the spaces pr.docxpaynetawnya
WEEK 5 – EXERCISES
Enter your answers in the spaces provided. Save the file using your last name as the beginning of the file name (e.g., ruf_week5_exercises) and submit via “Assignments.” When appropriate,
show your work
. You can do the work by hand, scan/take a digital picture, and attach that file with your work.
For the following question(s): A school counselor tests the level of depression in fourth graders in a particular class of 20 students. The counselor wants to know whether the kind of students in this class differs from that of fourth graders in general at her school. On the test, a score of 10 indicates severe depression, while a score of 0 indicates no depression. From reports, she is able to find out about past testing. Fourth graders at her school usually score 5 on the scale, but the variation is not known. Her sample of 20 fifth graders has a mean depression score of 4.4. Use the .01 level of significance.
1.
The counselor calculates the unbiased estimate of the population’s variance to be 15. What is the variance of the distribution of means?
A)
15/20 = 0.75
B)
15/19 = 0.79
C)
15
2
/20 = 11.25
D)
15
2
/19 = 11.84
2.
Suppose the counselor tested the null hypothesis that fourth graders in this class were
less
depressed than those at the school generally. She figures her
t
score to be
-
.20. What decision should she make regarding the null hypothesis?
A)
Reject it
B)
Fail to reject it
C)
Postpone any decisions until a more conclusive study could be conducted
D)
There is not enough information given to make a decision
3.
Suppose the standard deviation she figures (the square root of the unbiased estimate of the population variance) is .85. What is the effect size?
A)
5/.85 = 5.88
B)
.85/5 = .17
C)
(5
-
4.4)/.85 = .71
D)
.85/(5
-
4.4) = 1.42
For the following question(s): Professor Juarez thinks the students in her statistics class this term are more creative than most students at this university. A previous study found that students at this university had a mean score of 35 on a standard creativity test. Professor Juarez finds that her class scores an average of 40 on this scale, with an estimated population standard deviation of 7. The standard deviation of the distribution of means comes out to 1.63.
4.
What is the
t
score?
A)
(40
-
35)/7 = .71
B)
(40
-
35)/1.63 = 3.07
C)
(40
-
35)/7
2
= 5/49 = .10
D)
(40
-
35)/1.63
2
= 5/2.66 = 1.88
5.
What effect size did Professor Juarez find?
A)
(40
-
35)/7 = .71
B)
(40
-
35)/1.63 = 3.07
C)
(40
-
35)/7
2
= 5/49 = .10
D)
(40
-
35)/1.63
2
= 5/2.66 = 1.88
6.
If Professor Juarez had 30 students in her class, and she wanted to test her hypothesis using the 5% level of significance, what cutoff
t
score would she use? (You should be able to figure this out without a table because only one answer is in the correct region.)
A)
304.11
B)
1.699.
PSYCH 625 MENTOR Education Your Life / psych625mentor.comkopiko27
FOR MORE CLASSES VISIT
www.psych625mentor.com
PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet
PSYCH 625 Week 1 Individual Assignment Reliability and Validity Matrix
PSYCH 625 Week 1 Individual Assignment Time to Practice – Week One
ANOVA is a hypothesis testing technique used to compare the equali.docxjustine1simpson78276
ANOVA is a hypothesis testing technique used to compare the equality of means for two or more groups; for example, it can be used to test that the mean number of computer chips produced by a company on each of the day, evening, and night shifts is the same. Give an example of an application of ANOVA in an industrial, operations, or manufacturing setting that is different from the examples provided in the overview. Discuss and share this information with your classmates.
In responding to your peers, select responses that use an ANOVA application that is different from your own. Are the results of the ANOVA application statistically significant? Why are the results significant or not significant? Explain your reasoning. Consider how ANOVA could be applied to the final project case study.
Support your initial posts and response posts with scholarly sources cited in APA style.
https://statistics4beginners.wordpress.com/2015/02/18/how-to-calculate-anova-in-excel-2013/
PLEASE GIVE A 1-2 PARAGRAPH RESPONSE TO THE FOLLOWING:
1.
In this module, our goal is to learn the statistical process of comparing several population means through a procedure called "analysis of variance", or ANOVA. ANOVA uses the variance from the mean of 2 or more sample populations to see if there is a statistically significant difference between them (Sharpe, DeVeaux, Velleman, 2016). We've learned that this is a valuable tool in all sorts of areas of study, including automotive, chemical, and medical industries.
There are many practical examples of ANOVA throughout business. As previously mentioned, the medical field can benefit from the use of this statistics tool. For example, a drug company may be interested in the results of clinical trials for a few new drugs they plan to release. Medicine A, B, and C are all now in the clinical testing phase, so the instances in which each cures a specific ailment can be summed up using ANOVA. Each of the individual drugs, through the course of multiple trials, will have a number of "cured" patients. The following is an example of what the results may be, in table format:
A B C
Trial 1 4 9 2
2 5 8 7
3 7 1 6
4 6 1 5
5 6 4 9
Using ANOVA to evaluate the variance from the mean for each trial, the ultimate goal would be to compare each trial to one another. By comparing the variance, we can say, with statistical confidence, that one medicine may be more effect.
Deadline 6 PM Friday September 27, 201310 Project Management Que.docxedwardmarivel
Deadline 6 PM Friday September 27, 2013
10 Project Management Questions with sub-questions under each question. A word document is provided with all questions and directions.
Problem 1
The following data were obtained from a project to create a new portable electronic.
Activity
Duration
Predecessors
A
5 Days
---
B
6 Days
---
C
8 Days
---
D
4 Days
A, B
E
3 Days
C
F
5 Days
D
G
5 Days
E, F
H
9 Days
D
I
12 Days
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
What is the Scheduled Completion of the Project?
b)
What is the Critical Path of the Project?
c)
What is the ES for Activity D?
d)
What is the LS for Activity G?
e)
What is the EF for Activity B?
f)
What is the LF for Activity H?
g)
What is the float for Activity I?
Problem 2
The following data were obtained from a project to build a pressure vessel:
Activity
Duration
Predecessors
A
6 weeks
---
B
6 weeks
---
C
5 weeks
B
D
4 weeks
A, C
E
5 weeks
B
F
7 weeks
D, E, G
G
4 weeks
B
H
8 weeks
F
I
5 weeks
G
J
3 week
I
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 3
The following data were obtained from a project to design a new software package:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
6 Days
A
D
4 Days
C, B
E
5 Days
A
F
4 Days
D, E, G
G
4 Days
B, C
H
3 Day
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path(s)
c)
What is the slack time (float) for activity B?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 4
The following data were obtained from an in-house MIS project:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
5 Days
A
D
4 Days
B
E
5 Days
B
F
3 Day
C, D
G
7 Days
C, D
H
6 Days
E, F, G
I
9 Days
E, F
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e)
What is the slack time (float) for activity E?
f)
What is the slack time (float) for activity F?
PROBLEM 5
Use the network diagram below and the additional information provided to answer the corresponding questions.
a) Give the crash cost per day per activity.
b) Which activities should be crash.
DEADLINE 15 HOURS
6 PAGES
UNDERGRADUATE
COURSEWORK
HARVARD FORMATING
DOUBLE SPACING
INSTRUCTIONS
This assignment seeks to assess your ability to:
• Critically evaluate and discuss the major developments during 2017 in corporate taxation from the perspective of multinational companies and their auditors, governments and other stakeholders.
• Apply appropriate knowledge, analytical techniques and concepts to problems and issues arising from both familiar and unfamiliar situations;
• Think critically, examine problems and issues from a number of perspectives, challenge viewpoints, ideas and concepts and make well-reasoned judgements;
• Present, discuss and defend ideas, concepts and views effectively through formal language.
Background:
In the final weeks of 2017 a leading tax expert suggested that “a whirlwind of international tax changes has swept the globe”. He also went on to say that for companies operating in Europe there is no end in sight to the pace of change. The final recommendations on base erosion and profit shifting (BEPS) from the OECD have been endorsed by the EU. In fact a number of European governments have already implemented large parts of these proposals ahead of schedule.
The third quarter of the year saw the European Commission in the spotlight with its landmark decision that the technology giant Apple must repay no less than €13 billion of taxes to the Irish government. This ruling was based on the view that the favourable tax treatment was effectively state aid and hence the Irish government had broken EU law. At the same time countries across the world continue to compete by reducing the rate of corporate taxes. Many commentators suggest that the UK government will cut the corporate tax rate to 10% if the country fails to negotiate a trade deal with the European Union as part of the Brexit process. In a separate development earlier in the year the government of Hungary announced it would become the tax haven of Central Europe with a plan to reduce corporation tax to a mere 9%.
Required:
You are to write a report for the Board of Directors of a listed global company that has manufacturing and R&D activities across Europe, Asia, Australasia and America. The report should assume that the directors have detailed knowledge of the group activities but are not taxation specialists. However they would be aware of issues relating to corporate governance, transparency and reputational risks.
The report should cover the following aspects:
Evaluate the major developments that occurred in corporate taxation in 2017 and the issues that may arise in the current year.
Discuss the implications for the group in regard to the relationship with its auditors.
Consider how other stakeholders and non-governmental organisations (NGOs) may be affected by changes in the level of corporate taxes and their possible reaction.
The resources below are on Blackboard and provide an introduction to the topic.
“Corpor.
De nada.El gusto es mío.Encantada.Me llamo Pepe.Muy bien, grac.docxedwardmarivel
De nada. El gusto es mío. Encantada. Me llamo Pepe.
Muy bien, gracias. Nada. Nos vemos. Soy de Argentina.
1. ¿Cómo te llamas?
2. ¿Qué hay de nuevo?
3. ¿De dónde eres?
4. Adiós.
5. ¿Cómo está usted?
6. Mucho gusto.
7. Te presento a la señora Díaz.
8. Muchas gracias.
Modelo ¡Hola! Buenos días.
Adiós cómo Chau de eres
es está gusto Hasta Le
mío Muy Soy usted vemos
1. ANA Buenos días, señor González. ¿Cómo (1) (2) ?
SR. GONZÁLEZ (3) bien, gracias. Y tú, ¿(4) estás?
ANA Regular. (5) presento a Antonio.
SR. GONZÁLEZ Mucho (6) , Antonio.
ANTONIO El gusto (7) (8) .
SR. GONZÁLEZ ¿De dónde (9) , Antonio?
ANTONIO (10) (11) México.
ANA (12) luego, señor González.
SR. GONZÁLEZ Nos (13) , Ana.
ANTONIO (14) , señor González.
• • Hasta mañana.
• Nos vemos.
• Buenos días.
• Hasta pronto.
• • ¿Qué tal?
• Regular.
• ¿Qué pasa?
• ¿Cómo estás?
• • Puerto Rico
• Washington
• México
• Estados Unidos
• • Muchas gracias.
• Muy bien, gracias.
• No muy bien.
• Regular.
• • ¿De dónde eres?
• ¿Cómo está usted?
• ¿De dónde es usted?
• ¿Cómo se llama usted?
• • Chau.
• Buenos días.
• Hola.
• ¿Qué tal?
Modelo un papel
unos papeles
1. : unas fotografías
2. : un día
3. : un cuaderno
4. : unos pasajeros
5. : una computadora
6. : unas escuelas
7. : unos videos
8. : un programa
9. : unos autobuses
10. : una palabra
Modelo el señor Díaz
Addresing him: usted
Talking about him: él
1. Don Francisco
Addressing him:
Talking about him:
2. Jimena y Marissa
Addressing them:
Talking about them:
3. Maru y Miguel
Addressing them:
Talking about them:
4. la profesora
Addressing her:
Talking about her:
5. un estudiante
Addressing him:
Talking about him:
6. el director de una escuela
Addressing him:
Talking about him:
7. tres chicas
Addressing them:
Talking about them:
8. un pasajero de autobús
Addressing him:
Talking about him:
9. Juan Carlos y Felipe
Addressing them:
Talking about them:
10. una turista
Addressing her:
Talking about her:
Modelo Ustedes son profesores.
Nosotros somos profesores.
1. Nosotros somos estudiantes.
Ustedes .
2. Usted es de Puerto Rico.
Ella .
3. Nosotros somos conductores.
Ellos .
4. Yo soy turista.
Tú .
5. Ustedes son de México.
Nosotras .
6. Ella es profesora.
Yo .
7. Tú eres de España.
Él .
8. Ellos son pasajeros.
Ellas
Modelo Yo soy Jorge.
1. Hola, me llamo Jorge y de Cuba. Pilar y Nati de España. Pedro, Juan y Paco de México. Todos estudiantes. La señorita Blasco de San Antonio. Ella la profesora. Luis el conductor. Él de Puerto Rico. Ellos de los Estados Unidos. El autobús de la agencia Marazul. Todos pasajeros de la agencia de viajes Marazul. Perdón, ¿de dónde tú, quién ella y de quién las maletas?
Modelo nombre / el pasajero
Es el nombre del pasajero.
.
DDL 24 hours reading the article and writing a 1-page doubl.docxedwardmarivel
DDL:
24 hours
reading the article and writing a
1-page double space
annotated bibliography
including:
1.reference
2.specify the concept you will use
3.explain its significance to the course
4.specify how you'll use it in your project
see the article and project inf below
.
*
DCF valuation methodSuper-normal growth modelApplications: single CF, annuity, perpetuity, uneven CFs, bond, stock, etc.
LECTURE 2 Valuation Basics
(Chapters 4, 6, 7)
*
Amount of cash flows expectedRisk of the cash flows Timing of the cash flow stream
Factors that Determine Value
*
DCF Method: General Formula
Finding PVs is discounting. The discount factor i is determined by the cost of capital invested.
*
10%
Single Cash Flow
100
0
1
2
3
PV = ?
What’s the PV of $100 due in 3 years if i = 10%?
*
Financial Calculator Setup
BGN END
P/Y 1
FORMAT: DEC 4 or larger
*
Financial Calculator
Solution
s
N I/YR PV PMTFV
?
N = 3, I/YR = 10, PMT = 0, FV = 100
CPT, PV
-75.13
/
INPUTS
OUTPUT
*
Spreadsheet
.
DDBA 8307 Week 2 Assignment Exemplar
John Doe[footnoteRef:1] [1: Type your name here]
DDBA 8307-6[footnoteRef:2] [2: Type in DDBA section number (e.g. DDBA 8307 – 6) ]
Dr. Jane Doe[footnoteRef:3] [3: Enter faculty name here.]
1
Scales of Measurement
Type text here. Discuss the implications of “scales of measurement” in quantitative research. Be sure to use a minimum of two citations to support your position(s). Be sure to review the “Scales of Measurement” media from Week 1. This section should be no more than two paragraphs.
Research Question
What are the means, standard deviations, frequencies, and percentages of the Lesson 21 Exercise File variables?
Presentation of Findings
I analyzed data from Lesson 21 Exercise File [footnoteRef:4]. In this section, I present descriptive statistics for the study quantitative and qualitative variables. Appropriate APA tables and figures accompany the analysis[footnoteRef:5]. [4: Insert the appropriate file name. ] [5: The tables and figures from your SPSS output will need to be copied and pasted in the appropriate location.]
Descriptive Statistics[footnoteRef:6] [6: Detailed information can be found in Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables,” and Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables,” in the Green and Salkind text.
]
Descriptive statistics were run for the quantitative and qualitative variables in the Week 1 Assignment data set. Table 1 depicts the means and standard deviations for the quantitative data. Figure 1 depicts a histogram for the GPA variable. Table 2 depicts the frequencies and percentages for the qualitative (categorical) data. Figure 2 depicts a pie chart for the ethnic variable. Appendix 1 depicts the SPSS output.
Table 1[footnoteRef:7] [7: This is an example of an APA-formatted descriptive statistics table. Refer to Sections 5.01-5.19, in the APA Manual for detailed information on APA tables. The descriptive statistics table here includes the appropriate information derived from the SPSS output that is to be pasted as an appendix. Do not split tables across pages. Note: The numbers in the SPSS output presented here are fictitious numbers and do not represent correct numbers in the data set you will use for this application.
]
Means (M) and Standard Deviations (SD) for Study
Quantitative Variables (N = 105)
Variable[footnoteRef:8] [8: You would simply add rows to the table to accommodate the variables you have used in the analysis (i.e., variable 3, variable 4, etc.). Hint: Use the Microsoft Word Table feature.
]
M
SD
GPA
2.78
.76
Final
61.48
7.94
Percent
80.34
12.12
Figure 1. Histogram of GPA distribution.
Table 2[footnoteRef:9] [9: Recall from Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (Green & Salkind, 2017), frequencies and percentages are reported for qualitative (nominal) variables. Note: Frequency and percentages are the only c.
DBM380 v14Create a DatabaseDBM380 v14Page 2 of 2Create a D.docxedwardmarivel
DBM/380 v14
Create a Database
DBM/380 v14
Page 2 of 2Create a Database
The following assignment is based on the business scenario for which you created both an entity-relationship diagram and a normalized database design in Week 2.
For this assignment, you will create multiple related tables that match your normalized database design. In other words, you will implement a physical design (an actual, usable database) based on a logical design.
Refer to the linked W3Schools.com articles “SQL CREATE TABLE Statement,” “SQL PRIMARY KEY Constraint,” “SQL FOREIGN KEY Constraint,” and “SQL INSERT INTO Statement” for help in completing this assignment.
Note: In the industry, even the most carefully thought out database designs can contain mistakes. Feel free to correct in your tables any mistakes you notice in your normalized database design. Also, note that in Microsoft® Access®, you follow the steps below to launch the SQL editor:
Figure 1. To create a SQL query in Microsoft® Access®, begin by clicking the CREATE tab.
To Complete This Assignment:
1. Use the CREATE TABLE statement to create each table in your design. Note that a table in a RDMS corresponds to an entity in an entity-relationship diagram. Recommended tables for this assignment are CUSTOMER, ORDER, ORDER_DETAIL, PRODUCT, EMPLOYEE, and STORE.
2. As part of each CREATE TABLE statement, define all of the columns, or fields, that you want each particular table to contain. Give them short, meaningful names and include constraints; that is, describe what type of data each column (field) is allowed to hold and any other constraints, such as size, range, or uniqueness.
3. Note that any field you marked as a unique identifier in your normalized database design is a key field. Key fields must be described as both UNIQUE and NOT NULL, which means a value must exist for each record and that value must be unique across all records.
4. After you have created all six tables, including relationships between the tables as appropriate (matching the primary key in one table to a foreign key in another table), use the INSERT INTO statement to insert 10 records into each of your tables. You will need to make up the data you insert into your tables. For example, to insert one record into the CUSTOMER table, you will need to invent a customer number, a customer name, and so on—one value for each of the fields you defined for the CUSTOMER table—to insert into the table.
5. To ensure that your INSERT INTO statements succeeded in populating your tables, use the SELECT statement described in Ch. 7, “Introduction to Structured Query Language,” in Database Systems: Design, Implementation, and Management.to retrieve the records you inserted. For example, to see all 10 records you inserted into the CUSTOMER table, you might apply the following SQL statement: SELECT * FROM CUSTOMER;
After you have created all six tables and populated ten records in each table, submit to the Assignment Files tab the database containin.
DB3.1 Mexico corruptionDiscuss the connection between pol.docxedwardmarivel
DB3.1: Mexico corruption
Discuss the connection between politics, corruption, and criminal organizations in Mexico. How would you go about separating these? Give examples and be specific. Support your ideas on why you would do these specific measures.
DB3.2: Collapse of Soviet Union
How has the collapse of the Soviet Union fostered pirate capitalism and organized crime? Be specific with your answer and support your answer. Do you think that if the Soviet Union did not collapse pirate capitalism and organized crime would still flourish? Support your opinion.
300 words per post
.
DB2Pepsi Co and Coke American beverage giants, must adhere to th.docxedwardmarivel
DB2
Pepsi Co and Coke American beverage giants, must adhere to the U.S Foreign Corruption Act wherever their businesses may take them. Both companies expanded their U.S businesses to India with differing initial results. Coke came home (initially) and Pepsi Co prospered.
Do your research and explain the socio-cultural barriers faced by these two companies? What in your view were the reasons which negatively impacted Coke and positively touched Pepsi Co?
WEEK 3:
Interactive
: Select one company other than the 2 mentioned above, and share this company’s experience in the United Arab Emirates. Comment on another learner’s company experience in a different location of the world.
WEEK 4:
Interactive
: Comment on a different learner’s company experience in a totally different location from those completed earlier. Do you feel that cultural training is an essential pre-requisite for expatriates in any host country? Why/Why not?
Remember to use APA referencing in the body of your posting.
.
DB1 What Ive observedHave you ever experienced a self-managed .docxedwardmarivel
DB1: What I've observed
Have you ever experienced a self-managed team? If so, describe it. If not, why do you think your organization has not embraced self managed teams?
DB2: Case Analysis
Review the case study at the end of Chapter 8, Frederick W. Smith - FedEx. Answer the five questions below:
1. How do the standards set by Fred Smith for FedEx teams improve organizational performance?
2. What motivates the members of FedEx to remain highly engaged in their teams?
3. Describe the role FedEx managers play in facilitating team effectiveness.
4. What types of teams does FedEx use? Provide evidence from the case to support your answer.
5. Leaders play a critical role in building effective teams. Cite evidence from the case that FedEx managers performed some of these roles in developing effective teams.
Image Source Team:
http://www.freedigitalphotos.net/images/gallery-thumbnails.php?id=50143103253525199427035558
.
DB Response 1I agree with the decision to search the house. Ther.docxedwardmarivel
DB Response 1
I agree with the decision to search the house. There was reasonable suspicion to believe the fugitive could have been in the home. The homeowner not only consented to the search of the house but requested it for her safety. Complacency kills. In this situation, the officer is very regretful in his decision to conduct a complacent search of the home, and luckily nobody was killed.
My department does not have body cameras, but I still conduct business as if somebody is recording me. We live in a generation of surveillance. You never know when there are hidden cameras, a camera on a business you did not notice, or a cell phone recording from the top floor of a building. We hire police officers with high amounts of integrity because the definition of integrity is doing the right thing even when nobody is looking. I would be lying if I said my grandmother would approve of everything I do on the job. I am most guilty of foul language and it is something that I am working on not doing that. However, I can emphatically say I work with integrity and honesty without a doubt.
I think setting limits on tolerable behavior in regards to sexual and general harassment is appropriate; however, there are too many situations to make a policy for every behavior one could find inappropriate. When it comes to using force again every situation is different but there should be a pretty well laid out policy at departments for when and how an officer should use a certain amount of force. Officers should be trained on de-escalation tactics and alternatives to using force. Tactical training should include strategies to create time, space, and distance, to reduce the likelihood that force will be necessary and should occur in realistic conditions appropriate to the department’s location (U.S. Commission On Civil Rights, 2018).
Philippians 2 verses 3 – 8 is a pretty straightforward verse with great leadership lessons. Be humble, put others before yourself, and be a servant leader.
From the very beginning of any interrogation, the accused has constitutional rights not to speak to police and also to have an attorney present. The Eighth Amendment to the Constitution prohibits cruel and unusual punishments placed upon any persons in the U.S. With these rights in mind I will only go as far as the Constitution allows when interrogating this suspect even if the suspect admits where the child is if the admission was coerced that admission could get thrown out of court. I would never compromise the investigation. There are other ways to find the abducted girl through detective work than just interrogating the suspect. The cost of illegal interrogations is documented in the number of lost prosecutions. Literally, thousands of cases across the country have had to be dismissed because prosecutors could not trust that the evidence provided by police officers was legitimate or the officer had lost credibility as a witness in all cases because of his or her wrongdoing (P.
DB Response prompt ZAKChapter 7, Q1.Customers are expecting.docxedwardmarivel
DB Response prompt ZAK
Chapter 7, Q1.
Customers are expecting more from their service providers. Rather than traditionally accepting boilerplate offerings from service providers, customers desire that service providers cater to their requests. Organizations providing services must keep up with the customer’s demand or risk losing business to others who will. Many service providers have been adopting lean principles to accommodate the needs of their customers in successful attempts to decrease waste, increase efficiency, improve customer service and satisfaction (Daft, 2016, p. 275). From online music providers, customers expect music tracks personalized for their tastes. From airlines, customers can expect preflight seat and meal selections. Amazon.com provides custom personalization to a customers’ home pages by placing personally directed advertisements and products which the customer is more likely to order from the company. Amazon book recommendations are personalized to the specific customer and are provided based upon previous books read. With customers expecting customized and catered experiences, companies need to keep up with this demand and embrace mass customization in order to obtain and retain customers.
Chapter 7, Q2.
While many facets of businesses may involve craft technology, it is still important for business schools to teach management. Some businesses which only expect their leaders to gain knowledge and expertise from experience, may be creating a bureaucratic and restricted model for their business. Companies which rely only on internal training for their leaders can miss opportunities from potential leaders coming in from the outside. Business schools which teach management can provide potential leaders with a foundation to draw from. Teaching management can expose students to issues and opportunities experienced by others, not just ones restricted to one specific company. Teaching management from a textbook is just one method of conveying information. Just as one would not necessarily be proficient in piloting a boat from reading a book, a textbook about doing so would provide the student with underlying concepts which could dramatically increase the success of the student when they move to an actual boat. This textbook based training would be further enhanced with some practical experience.
Chapter 8, Q1.
Technology has progressed allowing real time instant messaging and virtual meetings. High level managers can indeed expect technology to allow them to do their jobs with little face-to-face communication, but they should question if that is something they really want to do. There are currently methods available which could be used effectively to communicate with subordinates, employees and stockholders, such as recorded feeds which would be able to reach every associated individual. These however may not provide a sense of personalization from the managers. Leaders in an organization may resort to using tec.
DB Topic of Discussion Information-related CapabilitiesAnalyze .docxedwardmarivel
DB Topic of Discussion: Information-related Capabilities
Analyze 2 of the 14 information-related capabilities and explain how the joint force can use these capabilities to affect the three dimensions of the information environment. Give examples of real-world or life events for the capabilities and how can you use these concepts as a CSM/SGM.
Consumer Brand Metrics Q3 2015
Eater Archetypes:
Brand usage and preferences by consumer segment
The restaurant industry has long relied on demographic factors to
identify and prioritize consumer groups. For example, many
brands currently obsess over attracting Millennials—some
without pausing to consider the variations among consumers
within this demographic cohort. In addition to life stages,
consumer attitudes about health, value, convenience and the
overall role of foodservice in their lives drive significant
differences in preferences and behavior.
With these distinctions in mind, we have updated the Consumer
Brand Metrics (CBM) survey with questions that allow us to
segment consumers into one of seven Eater Archetypes. Each
segment has a distinct psychographic profile, which is outlined in
our recent Consumer Foodservice Landscape. Accordingly, their
patronage of the segments and brands tracked in CBM varies.
This paper explores some differences we can discern after the
initial quarterly results, including the archetypes’ segment usage,
brand patronage and occasion dynamics. Examining CBM data by
Eater Archetype reveals nuances that complement a demographic
profile of a chain’s guests.
By Colleen Rothman, Manager, Consumer Insights
To learn more about the Consumer Brand Metrics program or to sign up for future
Spotlight by Consumer Brand Metrics white papers, please contact Bart Henyan,
Senior Marketing Manager, at [email protected]
Consumer Brand Metrics Q3 2015
Segmenting consumers by psychographic factors, rather than
just demographic characteristics, can lead to a better
understanding of the consumers that matter to your brand and
how to appeal to them.
Key Takeaways
Busy Balancers and Functional Eaters drive usage across
restaurants and convenience stores. Full-service restaurant
(FSR) operators may also consider targeting Foodservice
Hobbyists and Affluent Socializers, as these archetypes
comprise more than a quarter of FSR patrons, on average.
How does foodservice segment usage vary by archetype?
Driven by unique needs and motivations, Eater Archetypes
gravitate to a wide variety of brands. For example,
McDonald’s, Burger King and Whataburger each
disproportionately attract unique archetypes (Habitual
Matures, Bargain Hunters and Functional Eaters,
respectively).
Which chains do each archetype visit most frequently?
Archetypes that patronize the same restaurant may not use
the brand the same way. For example, usage varies by
daypart, with afternoon snacks skewing to Busy Balancers
and late-night meals d.
DB Instructions Each reply must be 250–300 words with a minim.docxedwardmarivel
DB Instructions:
Each reply must be 250–300 words with a minimum of 1 scholarly source. The scholarly source used for your thread and response should be in addition to the class textbooks.
Reference Book: Young, M. (2017). Learning the Art of Helping. Boston, MA: Pearson. ISBN: 9780134165783.
.
DB Defining White Collar CrimeHow would you define white co.docxedwardmarivel
DB: Defining White Collar Crime
How would you define white collar crime? What are the advantages and disadvantages of the various terms, such as “white collar crime,” “crimes of the powerful,” “elite deviance,” etc., used to describe the type of crimes.
300 Word Minimum
.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
TitleABC123 Version X1Time to Practice – Week Four .docx
1. Title
ABC/123 Version X
1
Time to Practice – Week Four
PSYCH/625 Version 1
1
University of Phoenix Material
Time to Practice – Week Four
Complete Parts A, B, and C below.
Part A
Some questions in Part A require that you access data from
Statistics for People Who (Think They) Hate Statistics. This
data is available on the student website under the Student Text
Resources link.
1. Using the data in the file named Ch. 11 Data Set 2, test the
research hypothesis at the .05 level of significance that boys
raise their hands in class more often than girls. Do this practice
problem by hand using a calculator. What is your conclusion
regarding the research hypothesis? Remember to first decide
whether this is a one- or two-tailed test.
2. Using the same data set (Ch. 11 Data Set 2), test the research
hypothesis at the .01 level of significance that there is a
difference between boys and girls in the number of times they
raise their hands in class. Do this practice problem by hand
using a calculator. What is your conclusion regarding the
research hypothesis? You used the same data for this problem as
for Question 1, but you have a different hypothesis (one is
directional and the other is nondirectional). How do the results
differ and why?
3. Practice the following problems by hand just to see if you can
2. get the numbers right. Using the following information,
calculate the t test statistic.
a.
b.
c.
4. Using the results you got from Question 3 and a level of
significance at .05, what are the two-tailed critical values
associated with each? Would the null hypothesis be rejected?
5. Using the data in the file named Ch. 11 Data Set 3, test the
null hypothesis that urban and rural residents both have the
same attitude toward gun control. Use IBM® SPSS® software to
complete the analysis for this problem.
6. A public health researcher tested the hypothesis that
providing new car buyers with child safety seats will also act as
an incentive for parents to take other measures to protect their
children (such as driving more safely, child-proofing the home,
and so on). Dr. L counted all the occurrences of safe behaviors
in the cars and homes of the parents who accepted the seats
versus those who did not. The findings: a significant difference
at the .013 level. Another researcher did exactly the same study;
everything was the same—same type of sample, same outcome
measures, same car seats, and so on. Dr. R’s results were
marginally significant (recall Ch. 9) at the .051 level. Which
result do you trust more and why?
7. In the following examples, indicate whether you would
perform a t test of independent means or dependent means.
a. Two groups were exposed to different treatment levels for
ankle sprains. Which treatment was most effective?
b. A researcher in nursing wanted to know if the recovery of
patients was quicker when some received additional in-home
care whereas when others received the standard amount.
c. A group of adolescent boys was offered interpersonal skills
counseling and then tested in September and May to see if there
was any impact on family harmony.
3. d. One group of adult men was given instructions in reducing
their high blood pressure whereas another was not given any
instructions.
e. One group of men was provided access to an exercise
program and tested two times over a 6-month period for heart
health.
8. For Ch. 12 Data Set 3, compute the t value and write a
conclusion on whether there is a difference in satisfaction level
in a group of families’ use of service centers following a social
service intervention on a scale from 1 to 15. Do this exercise
using IBM® SPSS® software, and report the exact probability
of the outcome.
9. Do this exercise by hand. A famous brand-name manufacturer
wants to know whether people prefer Nibbles or Wribbles. They
sample each type of cracker and indicate their like or dislike on
a scale from 1 to 10. Which do they like the most?
Nibbles rating
Wribbles rating
9
4
3
7
1
6
6
8
5
7
7
7
8
8
3
6
10
4. 7
3
8
5
9
2
8
9
7
6
3
2
6
5
7
8
6
1
5
6
5
3
6
10. Using the following table, provide three examples of a
simple one-way ANOVA, two examples of a two-factor
ANOVA, and one example of a three-factor ANOVA. Complete
the table for the missing examples. Identify the grouping and
the test variable.
Design
Grouping variable(s)
Test variable
Simple ANOVA
Four levels of hours of training—2, 4, 6, and 8 hours
Typing accuracy
Enter Your Example Here
6. permission.Part BSome questions in Part B require that you
access data from Using SPSS for Windows and Macintosh. This
data is available on the student website under the Student Text
Resources link.
The data for Exercise 14 is in the data file named Lesson 22
Exercise File 1.
14. John is interested in determining if a new teaching method,
the involvement technique, is effective in teaching algebra to
first graders. John randomly samples six first graders from all
first graders within the Lawrence City School System and
individually teaches them algebra with the new method. Next,
the pupils complete an eight-item algebra test. Each item
describes a problem and presents four possible answers to the
problem. The scores on each item are 1 or 0, where 1 indicates a
correct response and 0 indicates a wrong response. The IBM®
SPSS® data file contains six cases, each with eight item scores
for the algebra test.
Conduct a one-sample t test on the total scores. On the output,
identify the following:
a. Mean algebra score
b. T test value
c. P valueThe data for Exercise 15 is in the data file named
Lesson 25 Exercise File 1.
15. Marvin is interested in whether blonds, brunets, and
redheads differ with respect to their extrovertedness. He
randomly samples 18 men from his local college campus: six
blonds, six brunets, and six redheads. He then administers a
measure of social extroversion to each individual.
Conduct a one-way ANOVA to investigate the relationship
between hair color and social extroversion. Conduct appropriate
post hoc tests. On the output, identify the following:
a. F ratio for the group effect
8. biological experiment outside of class and write a word-
processed scientific report on your topic. The empirical study is
worth a total of 100 points as described in the deadline section,
below.
· Pay special attention to the deadlines - missing deadlines will
hurt your grade even if the final report is excellent. As stated in
my instructors’ syllabus, I deduct 10% for every week that an
assignment is late.
· All experiment assignments are due via Turnitin on
Blackboard at the beginning of class. I WILL NOT be accepting
paper assignments. Anything turned in after the due date on
Blackboard will be considered late and points will be docked.
· Each student must write his or her own draft and final report,
even if you worked with a partner.
· Write your own report and do not share it! Do not turn in 1
report with 2 names; you will both get 0 points.
· Copying even parts of the text (not the results) will yield a 0
score for all persons involved and probably a loss of
participation points and campus discipline.
· If your words match those of any web site we find you will
receive 0 points and campus discipline.
Deciding on a topic.
· Think of something about biology that you think is cool.
Genetics. Plants. Bacteria. Animal behavior (If you have a hard
time, flip through your BIO 100L manual and take a look at
what we will cover this semester and see if something strikes
your fancy).
· Google it.
· Find out more about it and then ask yourself a question. “I
wonder what makes plants grow faster”, “I wonder what kind of
surfaces grow the most bacteria”, “I wonder if there are more
types of animals that live in a woody area or a desert area”.
· Once you have a question, start thinking about how you would
experiment to answer your question. Don’t bog down by telling
yourself: “It’s interesting but I have no idea how to do an
9. experiment on it.” I can help you with this. The goal is for you
to experience the process of questioning, constructing an
hypothesis, designing an experiment (hopefully simple!)
collecting data, analyzing it and then writing about the whole
process, and hopefully practice writing well.
·
Topic Limitations
1. ABSOLUTELY NO MANIPULATION EXPERIMENTS ON
VERTEBRATES. This includes projects such as:
a. Feeding fish different foods to study growth.
b. Giving your lactose intolerant cousin milk to see how he
reacts.
c. Giving humans ANYTHING to ingest.
d. Vertebrates include:
i. You, your dog, cat, friends, family, fish, birds, most house
pets.
e. I realize it may sound harmless to give your friend a can of
coke and then record their heart rate to see if the caffeine has an
effect, but this class does not have the proper insurances to
allow that. If you turn in a proposal or a topic on these types of
projects, I will dock points. If you turn in a draft or a final
report on these types of projects you will receive ZERO credit.
2. You are allowed to perform OBSERVATIONAL experiments
on vertebrates. This includes:
a. Going to a pet shelter and recording animal behavior
b. Completing a biodiversity study in two different areas
c. Survey studies on humans
3. Make sure your project has BIOLOGY in it. This is a biology
class!! When you come up with an idea think to yourself “what
about this is the study of living things”.
a. Recording the evaporation rates of different liquids is
PHYSICS, not biology.
b. Recording the pH of household liquids is CHEMISTRY not
biology.
10. c. How music affects people is PSYCOLOGY, no biology.
4. The research must be conducted independently and not from
previous courses or from the internet.
Based on your observations of the world around you, pose a
question about some biological phenomenon of interest.
1. Develop a hypothesis about a part of your question that can
be tested using the scientific method.
2. Design an experiment to test your hypothesis.
a) What equipment (plants, pots, watering can, etc.) and
supplies (fertilizer, etc) will you need?
b) What specific information, (“data”, numbers, height in mm,
or temp., in °C,) will you need to gather, and how will you
gather it? (Will you stick the thermometer in the soil or hold it
on the leaves?)
c) What will your controls be? (Plants NOT treated with your
experimental process…etc.)
d) What one factor will be varied in your experimental group?
3. Some supplies may be available from the laboratory. If you
can’t supply all the materials that you will need to conduct your
study- ask for them. Ask early so there’s time to find
alternatives!
4. Make sure your experiment can be conducted in the time
frame allowed. (Especially critical for people who want to grow
plants!!)
5. Use the correct format for writing your paper.
Due Date
Assignment
Points
Criteria
Tue 9/10
Thur 9/12
Topic
5
You and your partner’s names. A prospective title, and one or
two sentences describing what you wish to study. You can
change this topic later but only with my approval.
11. Tue 9/24
Thur 9/26
Proposal
15
One-page proposal that includes: Hypothesis, Identification of
dependent and independent variables, Materials list (indicate
those that must be provided by your instructor) Outline of the
steps in the proposed method including controls, if applicable,
and when, where, and how you plan to do the experiment
Reference the provided Rubric.
Tue 10/29
Thur 10/31
Draft
30
3-4 page preliminary draft of results obtained from initial
experiments. This should basically be a complete final draft
with the initial results of your experiment. The more work you
put into the draft, the less work you will have on the final
report.
Reference the provided Rubric.
Tue 11/21
Thur 11/23
Final Report
50
4-5 following the format utilized in scientific journals.
Reference the guidelines to writing scientifically.
Reference the provided Rubric.
6. With the exception of “Title”, Include the headings as part of
your report.
For help with scientific writing look at:
http://writing2.richmond.edu/training/project/biology/biology.ht
mlhttp://www.columbia.edu/cu/biology/ug/research/paper.html
The help from the Columbia University page includes some
particularly helpful examples of correct and incorrect examples
12. Format for Experiment Report
Introduction
· Start with your general topic.
· Include ample background information (this should allow the
reader to quickly become familiar with your subject).
· State the purpose of your experiment.
· State your hypothesis and back it up.
· Things I need to know from the introduction:
· Why you picked this topic?
· What has past research found on this subject?
· What is your hypothesis?
· Why is that your hypothesis?
Materials and Methods
· This should be in paragraph form.
· Write, very clearly, how you conducted your experiment and
what materials you used to do it.
· Include how you recorded your data.
· Basically, after reading this section, the reader should be able
to go out and completely recreate your experiment.
· Tip: After you write this section, give it to a friend to read and
have them tell you what they think you did.
Results
· Straight up, what did you find?
· This is where you should include any diagrams, tables, or
figures.
· DO NOT include reasons why you got your results in this
section, save that for the discussion.
Discussion
· Explain to the reader what your results mean.
· Why did you get the results you did?
13. · If you experiment failed, why?
· Was your hypothesis supported or not? (Remember, we never
prove anything in science)
· What are possible future directions of this work? If you were
to continue on and do a follow up experiment, what would you
do?
Bibliography
This should be properly formatted and only include appropriate
sources.
Appropriate sources:
· Articles from scientific journals (You can use Google Scholar
and find sources that have been published through peer-
reviewed journals. You do need to use the campus server to
access the articles).
· Chapters or sections in scientific textbooks (this includes your
lab manual).
Inappropriate Sources:
· Websites. This includes:
· eHow.com
· Wikipedia.com (this is a good place to start, but DO NOT cite
it. Scroll to the bottom of the page and look to see what has
been cited there to lead to you appropriate sources).
· Livestrong.com
· Magazines
· Hearsay