Applied math 11 brandon 2011
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This document discusses key topics in Applied Math 11 including: 1) Normal distribution, standard deviation, and z-scores which students are expected to demonstrate an understanding of. 2) Interpreting statistical data using confidence intervals, confidence levels, and margin of error. 3) Examples of activities teachers can use to help students learn about standard deviation including measuring hand spans of students and family members. 4) Suggestions for using technology like handheld calculators and linking concepts to current events to engage students.
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The document discusses a shift in thinking around math education with the Common Core standards, focusing more on conceptual understanding rather than procedural skills alone. It highlights the importance of problem formulation over just solution, as noted by Einstein. Key structures of word problems are described, such as different types of division problems involving repeated subtraction, fair sharing, rates, and arrays. Resources for further information are also provided.
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TitleABC123 Version X1Time to Practice – Week Four .docx
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 ...
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The document summarizes research on using games to provide formative assessment. It discusses two studies that examined how making assessment criteria explicit and incentivizing feedback use affected student outcomes. The first study found that explaining scoring rules improved game performance while incentives plus explanations improved math learning. The second study found incentives plus explanations led to better math achievement, game performance, and feedback use, especially for students with low motivation. Future work could explore theoretical explanations and modify game and feedback designs.
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TitleABC123 Version X1Time to Practice – Week Four .docx
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 ...
Question1The Tri-City School District has instituted a zero-tol.docx
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:
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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.
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Part ASome questions in Part A require that you access data .docx
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.
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Using the data in the file named Ch. 11 Data Set 2, test the resea.docx
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.
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Part ASome questions in Part A require that you access dat.docx
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.
Screen casting presentation
This document discusses screencasting and posting screencasts to YouTube. It defines screencasting as digitally recording computer screen output with audio narration. Benefits include using screencasts for a flipped classroom model where students can re-watch lessons. Screen recording software and a YouTube account are needed to create and share screencasts. Smart Recorder is recommended software and steps for uploading to YouTube are provided, including creating playlists and sharing links.
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Question1The Tri-City School District has instituted a zero-tol.docx
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 ...
Ml response
The document discusses mathematical literacy and how to best structure the school curriculum to help students achieve it. It presents topics that could be covered in grades 10-12, including application topics like patterns and finance, and basic skills topics like measurement, numbers, and data handling. It considers how prescriptive the curriculum should be and whether best practices are known. It also examines how to integrate mathematical content with real-life contexts and problem-solving skills. There is discussion on ensuring progression in content, contexts, and confidence in problem-solving from grades 10-12. Questions are raised about whether the current curriculum is achieving its goals and how it could be improved.
Complete Parts A & BPart ASome questions in Part A r.docx
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.
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Part ASome questions in Part A require that you access data .docx
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.
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One group of adult men was given instructions in reducing their hi.
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2. Z-scores and t-scores are used to standardize scores from different distributions to allow comparisons. Standardization converts scores to distance from the mean in standard deviation units.
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New technologies remain competitive in driving efforts to make learning more efficient. Technology-based assessment in special education has made quite some advancement (Goldsmith & LeBlanc, 2004). First applications of computer technology assessment were for the scoring student's test forms. Currently, features incorporate self-administration, software control in presentation, response evaluation based on algorithms, prescription based on expert knowledge and direct links in assessment and change in instructions. The technology-based assessment uses electronic and software systems to evaluate individual children in an educational setting. Traditional assessments employ approaches of the computer.
Video-based computer assisted test enabled learning of language for the student automatically increasing the validity of measurements. Video segments incorporated movie elements of moral dilemma in problem-solving tests. Students viewing the video segments respond by simply touching the screen. Innovative approaches have created relevance in testing procedures. Misplaced students result into poor results and get prompted to drop out. Teachers not well trained contribute to the misplacement due to poor management of certain behaviors and learning differences. For effect, teachers must be able to analyze data produced by the assessment and develop a due course of action.
In addressing students with physical limitations use of voice recognition, handwriting interpreters, stylus tools, and touchscreen enables communication without the use of keys (Gierach, 2009). New software features allow students to perform comfortable pace of video segments on preferred language options. Computers are linked to videodisc enabling students to learn according to individual needs and skills. Latest technological features concern evaluation. Technological advancements assess social competence among students. The evaluator views students in a variety of context. Limitation in technology infrastructure, seen as the key barrier in this sort of assessment. Many district schools lack adequate high-speed broadband access necessary for this evaluation. Moreover, obsolesce in technology-based assessment erodes the capacity to provide quality services technology-based systems have a relatively short functional life.
Holistic assessments are the best in technology-based assessments. They incorporate software control in presentation, conceptual models or algorithms, decision-making based rules and expert knowledge (Redecker, & Johannessen, 2013). Proliferation technology helps students in the inclusion of speech recognition, electronic communication, personal computers, robotics and artificial intelligence. Trends in technology-based assessments have impacted lives of students with a disability. They achieve school improvement goals as well as tracking student growth and progress. Current assessment norms have embedded current stan ...
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Using the data in the file named Ch. 11 Data Set 2, test the resea.docx
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.
Changing issues, changing questions, changing approaches: An overview of rese...
Changing issues, changing questions, changing approaches: An overview of rese...Centre for Higher Education Development UCT
The presentation will highlight changing demands (from a sharp focus on access to concerns about throughput) and responses related to admission to higher education, and the research underpinning such responses. Beginning in the late 1980s, the paper traces the development of assessment procedures n the ‘dynamic’ testing tradition (responding to the need to test for ‘potential’ and widen access). The paper ends with a discussion of the National Benchmark Tests Project (responding the need to places students in appropriate curricula and improve throughput), focusing on the research and approaches underlying these tests as well as the findings and some implications both for schooling and higher education.
Presented by A/Prof. Nan Yeld & Robert PrinceMathematics instruction for secondary students with learning disabilities
This document discusses effective mathematics instruction techniques for secondary students with learning disabilities. It notes that these students generally have low achievement in math due to prior difficulties, low expectations, and inadequate instruction. The article examines research on practices shown to improve math achievement for these students. It identifies six factors that can hinder effective instruction: prior achievement, self-efficacy perceptions, content and presentation of instruction, instruction management, efforts to evaluate and improve teaching, and beliefs about effective instruction. The document focuses on how addressing these factors, such as through well-organized content and examples, can enhance math learning for secondary students with learning disabilities.
Part ASome questions in Part A require that you access dat.docx
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.
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Changing issues, changing questions, changing approaches: An overview of rese...
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The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
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