Question 9.3 - In an experiment with t = 4 population means, consider the four linear combinations of those means.
= - + +
= + -
= + + +
= + - +
a) Which of the four linear combinations are contrasts?
b) Which pairs of contrasts are orthogonal?
C) Suppose we have two contrasts:
= + - - and = + + -
Is testing : = 0 equivalent to testing : = 0 ? Justify your answer
Question 9.6 - Refer to Example 8.6 9(below). The political action group was interested in determining regional differences in the public’s opinion concerning air pollution. Write a contrast in the four population means to answer each of the following questions.
a. Question 1: Is the proportion of people who thought the EPA’s standards are not stringent enough different for the people living in the East compared to the people living in the West?
b. Question 2: Is the proportion of people who thought the EPA’s standards are not stringent enough different for the people living in the Northeast compared to the people living in the other three regions?
c. Question 3: Is the proportion of people who thought the EPA’s standards are not stringent enough different for the people living in the Northeast compared to the people living in the Southeast?
d. Simultaneously test if the three contrasts are different from 0 using an a = .05 test.
e. Are the three contrasts mutually orthogonal?
Example 8.6 9
A political action group conducted a national opinion poll to evaluate the voting public’s opinion concerning whether the new EPA regulations on air pollution were stringent enough to protect the public’s health. The group was also interested in determining if there were regional differences in the public’s opinion concerning air pollution. For this poll, the country was divided into four geographical regions (NE, SE, MW, W). A random sample of 100 registered voters was obtained from each of six standard metropolitan statistical areas (SMSAs) located in each of the four regions. The data in Table 8.21 are the sample proportions, , of people who thought the EPA standards were not stringent enough for the 24 SMSAs.
a. Is there a significant difference in the variability of the four region’s proportion? Use a = 5 .
b. Transform the data using arcsin .
c. Compute the sample means and sample standard deviations for the transformed data. Did the transformation yield a stabilization of the variances?
Question 9.5 - In a study of 10 new procedures of iron supplement, nine contrasts in the mean iron level in the supplement were constructed by the quality control department for comparing various characteristics of the procedures.
a. In order to achieve an experimentwise error rate of 0.05, what value should be selected for the value of
b. What is the critical value for the F statistic for testing the nine contrasts if there were six samples of the supplement taken from each of the 10 procedures?\
Question 9.13 – Researchers conducted an experiment to c ...
14 + 8 Answers and calculations as basic statistics student would ex.docxjeanettehully
14 + 8 Answers and calculations as basic statistics student would explain put into both an MS Excel spreadsheet and copied into MS Word doc format. Due by 7pm 2/2/14.
Week 2 Assignment
A. What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)?
B. What is the probability that a player can roll a four 3 times in a row (assume that rolling the dice each time does not affect the outcome of the next roll)?
Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0. A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B. Which sample mean will probably yield a more accurate estimate of its population mean? Why?
3. Suppose we obtained data on vein size after application of a nitroglycerin ointment in a sample of 50 patients. The mean vein size is found to be 7.8mm with an SD of 2.1. Using a
t
distribution table, what are the confidence limits for a 95% confidence interval? For a 99% confidence interval?
4. In a pilot study evaluating the use of a new drug to lower resting heart rates (HR) of patients, the following data was recorded:
Subject #
Resting HR
001
72
002
88
003
71
004
87
005
64
006
77
007
79
008
59
009
66
010
68
011
78
012
89
013
91
014
81
015
77
016
75
017
69
Given that the average resting HR of the general population for this study is 72, use StatCrunch to perform the appropriate
t
test. What is the value of
t
? Using an alpha of 0.05, is the
t
statistic significant? Why? What are the confidence limits for a 95% confidence interval here and what do they mean for this patient group? Copy and Paste your work from StatCrunch into your Word document submission.
5. Write one or two sentences that could be used to report the results obtained for the t-test in Exercise 4.
6. For which of the following situations is the
independent
groups t-test appropriate (if inappropriate, why?):
a. The independent variable is infant birth weight at one week (normal vs high); the dependent variable is resting heart rate.
b. The independent variable is radiation treatment on throat cancer patients (after a low dose and then a high dose treatment); the dependent variable is white blood cell count.
c. The IV is infant birth weight (low vs normal birth weight); the DV is number of days absent from school in first grade.
d. The IV is gender (male vs female); the DV is compliance vs noncompliance with a medication regimen.
e. The independent variable is married status (single vs divorced vs married); the dependent variable is happiness measured on a scale from 1 to 50
7. For which of the following situations is the
dependent
groups t-test appropriate (if not appropriate, why?)
a. The IV is presence or absence of conversation directed to comato.
Week 2 Assignment1. A. What is the probability of rolling a four.docxmelbruce90096
Week 2 Assignment
1. A. What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)?
B. What is the probability that a player can roll a four 3 times in a row (assume that rolling the dice each time does not affect the outcome of the next roll)?
2. Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0. A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B. Which sample mean will probably yield a more accurate estimate of its population mean? Why?
3.
Suppose we obtained data on vein size after application of a nitroglycerin ointment in a sample of 50 patients. The mean vein size is found to be 7.8mm with an SD of 2.1. Using a t distribution table, what are the confidence limits for a 95% confidence interval? For a 99% confidence interval?
4.
In a pilot study evaluating the use of a new drug to lower resting heart rates (HR) of patients, the following data was recorded:
Subject #
Resting HR
001
72
002
88
003
71
004
87
005
64
006
77
007
79
008
59
009
66
010
68
011
78
012
89
013
91
014
81
015
77
016
75
017
69
Given that the average resting HR of the general population for this study is 72, use StatCrunch to perform the appropriate t test. What is the value of t? Using an alpha of 0.05, is the t statistic significant? Why? What are the confidence limits for a 95% confidence interval here and what do they mean for this patient group? Copy and Paste your work from StatCrunch into your Word document submission.
5.
Write one or two sentences that could be used to report the results obtained for the t-test in Exercise 4.
6.
For which of the following situations is the independent groups t-test appropriate (if inappropriate, why?):
a.
The independent variable is infant birth weight at one week (normal vs high); the dependent variable is resting heart rate.
b.
The independent variable is radiation treatment on throat cancer patients (after a low dose and then a high dose treatment); the dependent variable is white blood cell count.
c.
The IV is infant birth weight (low vs normal birth weight); the DV is number of days absent from school in first grade.
d.
The IV is gender (male vs female); the DV is compliance vs noncompliance with a medication regimen.
e.
The independent variable is married status (single vs divorced vs married); the dependent variable is happiness measured on a scale from 1 to 50
7.
For which of the following situations is the dependent groups t-test appropriate (if not appropriate, why?)
a.
The IV is presence or absence of conversation directed to comatose patients (same patients with and without conversation); the DV is the patients’ intracranial pressure.
b.
The IV is birth type (home vs hospital); the DV is perceived functional ability of the patient 48 hours after surgery.
c.
The IV is time since incarceration (1 months vs 3 months vs 6 months); the DV is body .
Kines 260 Take Home FinalNameDue Friday December 12th at 11 A.docxDIPESH30
Kines 260 Take Home Final
Name:
Due Friday December 12th at 11 A.M. in my mailbox
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process. PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women. One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women. In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer. To better assess this relationship, researchers studied a group of 200 postmenopausal women. The SPSS file is entitled, Breast Cancer and Obesity.
Adiposity was measured in two different ways: (a) by body mass index (BMI) = weight (kg) / height (m2) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference. BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity. In addition, a complete hormonal profile was obtained, including serum estradiol. Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1st birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
· BMI has been categorized, bmi_cat, : normal BMI (<25) and abnormal BMI (25 or greater).
· Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
· WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1. Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a. Provide a visual aid depicting the mean differences between the two groups.
2. Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3. Please use the rock climbing performance dataset. Here is the description: This is research done by a senior at PSU-Berks. He was interested in determining the effects of imagery on rock climbing performance. He chose 20 experienced rock climbers. With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty ...
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. The following are body mass index (BMI) scores measured in 12.docxjackiewalcutt
1. The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes and participating in a study of risk factors for obesity. Body mass index is measured as the ratio of weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of the true BMI.
25
27
31
33
26
28
38
41
24
32
35
40
2. Consider the data in Problem 1. How many subjects would be needed to ensure that a 95% confidence interval estimate of BMI had a margin of error not exceeding 2 units?
3. The mean BMI in patients free of diabetes was reported as 28.2. The investigator conducting the study described in Problem 1 hypothesizes that the BMI in patients free of diabetes is higher. Based on the data in Problem 1 is there evidence that the BMI is significantly higher that 28.2? Use a 5% level of significance.
4. Peak expiratory flow (PEF) is a measure of a patient’s ability to expel air from the lungs. Patients with asthma or other respiratory conditions often have restricted PEF. The mean PEF for children free of asthma is 306. An investigator wants to test whether children with chronic bronchitis have restricted PEF. A sample of 40 children with chronic bronchitis are studied and their mean PEF is 279 with a standard deviation of 71. Is there statistical evidence of a lower mean PEF in children with chronic bronchitis? Run the appropriate test at =0.05.
5. Consider again the study in Problem 4, a different investigator conducts a second study to investigate whether there is a difference in mean PEF in children with chronic bronchitis as compared to those without. Data on PEF are collected and summarized below. Based on the data, is there statistical evidence of a lower mean PEF in children with chronic bronchitis as compared to those without? Run the appropriate test at =0.05.
Group
Number of Children
Mean PEF
Std Dev PEF
Chronic Bronchitis
25
281
68
No Chronic Bronchitis
25
319
74
6. Using the data presented in Problem 5,
a) Construct a 95% confidence interval for the mean PEF in children without chronic bronchitis.
b) How many children would be required to ensure that the margin of error in (a) does not exceed 10 units?
7. A clinical trial is run to investigate the effectiveness of an experimental drug in reducing preterm delivery to a drug considered standard care and to placebo. Pregnant women are enrolled and randomly assigned to receive either the experimental drug, the standard drug or placebo. Women are followed through delivery and classified as delivering preterm (< 37 weeks) or not. The data are shown below.
Preterm Delivery
Experimental Drug
Standard Drug
Placebo
Yes
17
23
35
No
83
77
65
Is there a statistically significant difference in the proportions of women delivering preterm among the three treatment groups? Run the test at a 5% level of significance.
8. Using the data in Problem 7, generate a 95% confidence interval for the difference in proportions of women ...
WEEK 7 – EXERCISES Enter your answers in the spaces pr.docxwendolynhalbert
WEEK 7 – 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_week6_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.
A sports researcher gave a standard written test of eating habits to 12 randomly selected professionals, four each from baseball, football, and basketball. The results were as follows:
Eating Habits Scores
Baseball Players
Football Players
Basketball Players
34
27
35
18
28
44
21
67
47
65
42
61
Is there a difference in eating habits among professionals in the three sports? (Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Determine effect size.
2.
To study the effectiveness of treatments for insomnia, a sleep researcher conducted a study with 12 participants.
Four participants were instructed to count sheep (Sheep Condition), four were told to concentrate on their breathing (Breathing Condition), and four were not given any special instructions. Over the next few days, measures were taken of how many minutes it took each participant to fall asleep. The average times for the participants in the Sheep Condition were 14, 28, 27, and 31; for those in the Breathing Condition, 25, 22, 17, and 14; and for those in the control condition, 45, 33, 30, and 41.
Do these results suggest that the different techniques have different effects?
(Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain your findings (including the logic of comparing within-group to between-group population variance estimates, how each of these is figured, and the
F
distribution).
High school juniors planning to attend college were randomly assigned to view one of four videos about a particular college, each differing according to what aspect of college life was emphasized: athletics, social life, scholarship, or artistic/cultural opportunities. After viewing the videos, the students took a test measuring their desire to attend this college. The results were as follows:
Desire to Attend this College
Athletics
Social Life
Scholarship
Art/Cultural
68
89
74
76
56
78
82
71
69
81
79
69
70
77
80
65
Do these results suggest that the type of activity emphasized in a college film affects desire to attend that college? (Use the .01 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain the logic of what you have done to a person who is unfamiliar with the analysis of variance.
A team of psychologists designed a study in which 12 psychiatric patients diagnosed as having generalized anxiety disorder were randomly assigned to one of three new types of th.
14 + 8 Answers and calculations as basic statistics student would ex.docxjeanettehully
14 + 8 Answers and calculations as basic statistics student would explain put into both an MS Excel spreadsheet and copied into MS Word doc format. Due by 7pm 2/2/14.
Week 2 Assignment
A. What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)?
B. What is the probability that a player can roll a four 3 times in a row (assume that rolling the dice each time does not affect the outcome of the next roll)?
Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0. A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B. Which sample mean will probably yield a more accurate estimate of its population mean? Why?
3. Suppose we obtained data on vein size after application of a nitroglycerin ointment in a sample of 50 patients. The mean vein size is found to be 7.8mm with an SD of 2.1. Using a
t
distribution table, what are the confidence limits for a 95% confidence interval? For a 99% confidence interval?
4. In a pilot study evaluating the use of a new drug to lower resting heart rates (HR) of patients, the following data was recorded:
Subject #
Resting HR
001
72
002
88
003
71
004
87
005
64
006
77
007
79
008
59
009
66
010
68
011
78
012
89
013
91
014
81
015
77
016
75
017
69
Given that the average resting HR of the general population for this study is 72, use StatCrunch to perform the appropriate
t
test. What is the value of
t
? Using an alpha of 0.05, is the
t
statistic significant? Why? What are the confidence limits for a 95% confidence interval here and what do they mean for this patient group? Copy and Paste your work from StatCrunch into your Word document submission.
5. Write one or two sentences that could be used to report the results obtained for the t-test in Exercise 4.
6. For which of the following situations is the
independent
groups t-test appropriate (if inappropriate, why?):
a. The independent variable is infant birth weight at one week (normal vs high); the dependent variable is resting heart rate.
b. The independent variable is radiation treatment on throat cancer patients (after a low dose and then a high dose treatment); the dependent variable is white blood cell count.
c. The IV is infant birth weight (low vs normal birth weight); the DV is number of days absent from school in first grade.
d. The IV is gender (male vs female); the DV is compliance vs noncompliance with a medication regimen.
e. The independent variable is married status (single vs divorced vs married); the dependent variable is happiness measured on a scale from 1 to 50
7. For which of the following situations is the
dependent
groups t-test appropriate (if not appropriate, why?)
a. The IV is presence or absence of conversation directed to comato.
Week 2 Assignment1. A. What is the probability of rolling a four.docxmelbruce90096
Week 2 Assignment
1. A. What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)?
B. What is the probability that a player can roll a four 3 times in a row (assume that rolling the dice each time does not affect the outcome of the next roll)?
2. Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0. A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B. Which sample mean will probably yield a more accurate estimate of its population mean? Why?
3.
Suppose we obtained data on vein size after application of a nitroglycerin ointment in a sample of 50 patients. The mean vein size is found to be 7.8mm with an SD of 2.1. Using a t distribution table, what are the confidence limits for a 95% confidence interval? For a 99% confidence interval?
4.
In a pilot study evaluating the use of a new drug to lower resting heart rates (HR) of patients, the following data was recorded:
Subject #
Resting HR
001
72
002
88
003
71
004
87
005
64
006
77
007
79
008
59
009
66
010
68
011
78
012
89
013
91
014
81
015
77
016
75
017
69
Given that the average resting HR of the general population for this study is 72, use StatCrunch to perform the appropriate t test. What is the value of t? Using an alpha of 0.05, is the t statistic significant? Why? What are the confidence limits for a 95% confidence interval here and what do they mean for this patient group? Copy and Paste your work from StatCrunch into your Word document submission.
5.
Write one or two sentences that could be used to report the results obtained for the t-test in Exercise 4.
6.
For which of the following situations is the independent groups t-test appropriate (if inappropriate, why?):
a.
The independent variable is infant birth weight at one week (normal vs high); the dependent variable is resting heart rate.
b.
The independent variable is radiation treatment on throat cancer patients (after a low dose and then a high dose treatment); the dependent variable is white blood cell count.
c.
The IV is infant birth weight (low vs normal birth weight); the DV is number of days absent from school in first grade.
d.
The IV is gender (male vs female); the DV is compliance vs noncompliance with a medication regimen.
e.
The independent variable is married status (single vs divorced vs married); the dependent variable is happiness measured on a scale from 1 to 50
7.
For which of the following situations is the dependent groups t-test appropriate (if not appropriate, why?)
a.
The IV is presence or absence of conversation directed to comatose patients (same patients with and without conversation); the DV is the patients’ intracranial pressure.
b.
The IV is birth type (home vs hospital); the DV is perceived functional ability of the patient 48 hours after surgery.
c.
The IV is time since incarceration (1 months vs 3 months vs 6 months); the DV is body .
Kines 260 Take Home FinalNameDue Friday December 12th at 11 A.docxDIPESH30
Kines 260 Take Home Final
Name:
Due Friday December 12th at 11 A.M. in my mailbox
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process. PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women. One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women. In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer. To better assess this relationship, researchers studied a group of 200 postmenopausal women. The SPSS file is entitled, Breast Cancer and Obesity.
Adiposity was measured in two different ways: (a) by body mass index (BMI) = weight (kg) / height (m2) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference. BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity. In addition, a complete hormonal profile was obtained, including serum estradiol. Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1st birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
· BMI has been categorized, bmi_cat, : normal BMI (<25) and abnormal BMI (25 or greater).
· Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
· WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1. Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a. Provide a visual aid depicting the mean differences between the two groups.
2. Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3. Please use the rock climbing performance dataset. Here is the description: This is research done by a senior at PSU-Berks. He was interested in determining the effects of imagery on rock climbing performance. He chose 20 experienced rock climbers. With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty ...
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. The following are body mass index (BMI) scores measured in 12.docxjackiewalcutt
1. The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes and participating in a study of risk factors for obesity. Body mass index is measured as the ratio of weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of the true BMI.
25
27
31
33
26
28
38
41
24
32
35
40
2. Consider the data in Problem 1. How many subjects would be needed to ensure that a 95% confidence interval estimate of BMI had a margin of error not exceeding 2 units?
3. The mean BMI in patients free of diabetes was reported as 28.2. The investigator conducting the study described in Problem 1 hypothesizes that the BMI in patients free of diabetes is higher. Based on the data in Problem 1 is there evidence that the BMI is significantly higher that 28.2? Use a 5% level of significance.
4. Peak expiratory flow (PEF) is a measure of a patient’s ability to expel air from the lungs. Patients with asthma or other respiratory conditions often have restricted PEF. The mean PEF for children free of asthma is 306. An investigator wants to test whether children with chronic bronchitis have restricted PEF. A sample of 40 children with chronic bronchitis are studied and their mean PEF is 279 with a standard deviation of 71. Is there statistical evidence of a lower mean PEF in children with chronic bronchitis? Run the appropriate test at =0.05.
5. Consider again the study in Problem 4, a different investigator conducts a second study to investigate whether there is a difference in mean PEF in children with chronic bronchitis as compared to those without. Data on PEF are collected and summarized below. Based on the data, is there statistical evidence of a lower mean PEF in children with chronic bronchitis as compared to those without? Run the appropriate test at =0.05.
Group
Number of Children
Mean PEF
Std Dev PEF
Chronic Bronchitis
25
281
68
No Chronic Bronchitis
25
319
74
6. Using the data presented in Problem 5,
a) Construct a 95% confidence interval for the mean PEF in children without chronic bronchitis.
b) How many children would be required to ensure that the margin of error in (a) does not exceed 10 units?
7. A clinical trial is run to investigate the effectiveness of an experimental drug in reducing preterm delivery to a drug considered standard care and to placebo. Pregnant women are enrolled and randomly assigned to receive either the experimental drug, the standard drug or placebo. Women are followed through delivery and classified as delivering preterm (< 37 weeks) or not. The data are shown below.
Preterm Delivery
Experimental Drug
Standard Drug
Placebo
Yes
17
23
35
No
83
77
65
Is there a statistically significant difference in the proportions of women delivering preterm among the three treatment groups? Run the test at a 5% level of significance.
8. Using the data in Problem 7, generate a 95% confidence interval for the difference in proportions of women ...
WEEK 7 – EXERCISES Enter your answers in the spaces pr.docxwendolynhalbert
WEEK 7 – 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_week6_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.
A sports researcher gave a standard written test of eating habits to 12 randomly selected professionals, four each from baseball, football, and basketball. The results were as follows:
Eating Habits Scores
Baseball Players
Football Players
Basketball Players
34
27
35
18
28
44
21
67
47
65
42
61
Is there a difference in eating habits among professionals in the three sports? (Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Determine effect size.
2.
To study the effectiveness of treatments for insomnia, a sleep researcher conducted a study with 12 participants.
Four participants were instructed to count sheep (Sheep Condition), four were told to concentrate on their breathing (Breathing Condition), and four were not given any special instructions. Over the next few days, measures were taken of how many minutes it took each participant to fall asleep. The average times for the participants in the Sheep Condition were 14, 28, 27, and 31; for those in the Breathing Condition, 25, 22, 17, and 14; and for those in the control condition, 45, 33, 30, and 41.
Do these results suggest that the different techniques have different effects?
(Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain your findings (including the logic of comparing within-group to between-group population variance estimates, how each of these is figured, and the
F
distribution).
High school juniors planning to attend college were randomly assigned to view one of four videos about a particular college, each differing according to what aspect of college life was emphasized: athletics, social life, scholarship, or artistic/cultural opportunities. After viewing the videos, the students took a test measuring their desire to attend this college. The results were as follows:
Desire to Attend this College
Athletics
Social Life
Scholarship
Art/Cultural
68
89
74
76
56
78
82
71
69
81
79
69
70
77
80
65
Do these results suggest that the type of activity emphasized in a college film affects desire to attend that college? (Use the .01 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain the logic of what you have done to a person who is unfamiliar with the analysis of variance.
A team of psychologists designed a study in which 12 psychiatric patients diagnosed as having generalized anxiety disorder were randomly assigned to one of three new types of th.
PU 515 Applied Biostatistics Final Exam 1. The.docxamrit47
PU 515
Applied Biostatistics
Final Exam
1. The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes
and participating in a study of risk factors for obesity. Body mass index is measured as the ratio of
weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of
the true BMI.
25 27 31 33 26 28 38 41 24 32 35 40
2. Consider the data in Problem #1. How many subjects would be needed to ensure that a 95%
confidence interval estimate of BMI had a margin of error not exceeding 2 units?
3. A clinical trial is run to investigate the effectiveness of an experimental drug in reducing preterm
delivery to a drug considered standard care and to placebo. Pregnant women are enrolled and
randomly assigned to receive either the experimental drug, the standard drug or placebo. Women
are followed through delivery and classified as delivering preterm (< 37 weeks) or not. The data
are shown below.
Preterm Delivery Experimental Drug Standard Drug Placebo
Yes 17 23 35
No 83 77 65
Is there a statistically significant difference in the proportions of women delivering preterm among
the three treatment groups? Run the test at a 5% level of significance.
4. Consider the data presented in problem #4. Previous studies have shown that approximately 32%
of women deliver prematurely without treatment. Is the proportion of women delivering
prematurely significantly higher in the placebo group? Run the test at a 5% level of significance.
PU 515
Applied Biostatistics
Final Exam
5. A study is run comparing HDL cholesterol levels between men who exercise regularly and those
who do not. The data are shown below.
Regular Exercise N Mean Std Dev
Yes 35 48.5 12.5
No 120 56.9 11.9
Generate a 95% confidence interval for the difference in mean HDL levels between men who
exercise regularly and those who do not.
6. A clinical trial is run to assess the effects of different forms of regular exercise on HDL levels in
persons between the ages of 18 and 29. Participants in the study are randomly assigned to one of
three exercise groups - Weight training, Aerobic exercise or Stretching/Yoga – and instructed to
follow the program for 8 weeks. Their HDL levels are measured after 8 weeks and are summarized
below.
Exercise Group N Mean Std Dev
Weight Training 20 49.7 10.2
Aerobic Exercise 20 43.1 11.1
Stretching/Yoga 20 57.0 12.5
Is there a significant difference in mean HDL levels among the exercise groups? Run the test at a
5% level of significance. HINT: SSwithin = 21,860.
7. Consider again the data in problem #6. Suppose that in the aerobic exercise group we also
measured the number of hours of aerobic exercise per week and the mean is 5.2 hours with a
standard deviation of 2.1 hours. The sample correlation is -0.42.
a) Is there evidence of a s ...
This quiz consists of 20 questions most appear to be similar but now.docxamit657720
This quiz consists of 20 questions most appear to be similar but now really. I ned someone who is familiar with bio-statistics and math. The due date is tomorrow 4 pm PST. or (16:00). Please if you accept handshake you must do the work not get from previous papers or tell me you had emergency an hour before its due. This is important to me.
attached is the file just in case you need it in word format. Thank you in advance.
1.
The standard deviation of the diameter at breast height, or DBH, of the slash pine tree is less than one inch. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1 when σ < 1 is true.
[removed] Support the claim μ < 1 when μ = 1 is true.
[removed]
Support the claim σ < 1 when σ = 1 is true.
[removed] Fail to support the claim μ < 1 when μ < 1 is true.
1a. The EPA claims that fluoride in children's drinking water should be at a mean level of less than 1.2 ppm, or parts per million, to reduce the number of dental cavities. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1.2 when σ < 1.2 is true.
[removed] Support the claim μ < 1.2 when μ = 1.2 is true.
[removed] Support the claim σ < 1.2 when σ = 1.2 is true.
[removed] Fail to support the claim μ < 1.2 when μ < 1.2 is true.
2.
Biologists are investigating if their efforts to prevent erosion on the bank of a stream have been statistically significant. For this stream, a narrow channel width is a good indicator that erosion is not occurring. Test the claim that the mean width of ten locations within the stream is greater than 3.7 meters. Assume that a simple random sample has been taken, the population standard deviation is not known, and the population is normally distributed. Use the following sample data:
3.3 3.3 3.5 4.9 3.5 4.1 4.1 5 7.3 6.2
What is the P-value associated with your test statistic? Report your answer with three decimals, e.g., .987 (Points : 1)
2a. Medical researchers studying two therapies for treating patients infected with Hepatitis C found the following data. Assume a .05 significance level for testing the claim that the proportions are not equal. Also, assume the two simple random samples are independent and that the conditions np ≥ 5 and nq ≥ 5 are satisfied.
Therapy 1
Therapy 2
Number of patients
39
47
Eliminated Hepatitis
20
13
C infection
Construct a 95% confidence interval estimate of the odds ratio of the odds for having Hepatitis C after Therapy 1 to the odds for having Hepatitis C after Therapy 2. Give your answer with two decimals, e.g., (12.34,56.78) (Points : 0.5)
[removed]
3. Researchers studying sleep loss followed the length of sleep, in hours, of 10 individuals with insomnia before and after cognitive behavioral therapy (CBT). Assume a .05 significance level to test the claim that there is a difference between the length of sleep of individuals before and after CBT. Also, assume the data consist of matched pair ...
152 pts totalFor Questions 1-2 use the 7 step process to answe.docxsandibabcock
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process.
PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women.
One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women.
In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer.
To better assess this relationship, researchers studied a group of 200 postmenopausal women.
The SPSS file is entitled,
Breast Cancer and Obesity
.
Adiposity was measured in two different ways:
(a) by body mass index (BMI) = weight (kg) / height(m
2
) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference.
BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity.
In addition, a complete hormonal profile was obtained, including serum estradiol.
Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1
st
birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
BMI has been categorized, bmi_cat, :
normal BMI (<25) and abnormal BMI (25 or greater).
Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1.
Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a.
Provide a visual aid depicting the mean differences between the two groups.
2.
Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3.
Please use the rock climbing performance dataset.
Here is the description:
This is research done by a senior at PSU-Berks.
He was interested in determining the effects of imagery on rock climbing performance.
He chose 20 experienced rock climbers.
With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty wall).
Ignoring issues of confounding, can we conclude that imagery decreases rock wall climb time (in seconds)?
(15pts)
a.
What statistical test should be use.
3.A study wants to determine if taking fish oils can reduce depr.docxcameroncourtney45
3.
A study wants to determine if taking fish oils can reduce depressive symptoms. A group of 50 volunteers who suffered from mild depression were randomly divided into two groups. Each person was given a three-month’s supply of capsules. One group was given capsules that contained fish oils while the other group was given capsules that look and tasted like fish oils, but actually only contained sugar. Neither the participants nor the investigator knew what type of capsule they were taking. At the end of the month, a psychologist evaluated them to determine if their depressive symptoms had
changed
.
Therefore, we are comparing the “change in depressive symptoms” for individuals in two groups.
Explain whether each of the following terms applies or does not apply to this study.
Why or why not?
a.
observational study
A: Does not apply: the study is not being conducted in their natural settings/groupings since they are randomly assigned to a group.
b.
randomized experiment
A: Does apply:
creates differences in explanatory variable when randomly assigning groups.
c.
placebo
d.
placebo effect
e.
single-blind
f.
double-blind
g.
matched pairs (dependent samples)
h.
block design
i.
independent samples
j.
explanatory variable (What is it?)
k.
response variable (What is it?)
4.
Does the use of cell phones lead to a higher incidence of brain cancer? People with brain cancer were matched with people who did not have brain cancer on age, gender, and living environment. Each participant in the study was asked to answer questions about previous life experiences and exposures.
Determine whether or not each of the following terms applies or does not apply to this observational study.
Why or why not?
a.
prospective
b.
retrospective
c.
case-control study
5.
A study involving ten people wants to compare the effectiveness of two different brands of antihistamines with regard to enhancing sleep. Each person is randomly assigned to take either Antihistamine A or Antihistamine B on the first night.
Then each person takes the other antihistamine on the following night.
With each person, the hours of sleep were recorded for each night. Explain whether each of the following terms applies or does not apply to this study.
Why or why not?
a.
observational study
b.
randomized experiment
c.
carry-over effect (confounding)
d.
matched pairs (dependent samples)
e.
explanatory variable (What is it?)
f.
response variable (What is it?)
6.
Suppose the study found in the previous problem instead found that each person took Antihistamine A on the first night and Antihistamine B on the second night. What terms that did not apply to the previous problem now apply to this problem? Explain.
7.
Are you annoyed with spam e-mail? Suppose a random sample of 200 Penn State students was asked this question of which 80% said that they are annoyed. From the provided information we can find the following:
sample percent = 80% (sample proportion = .80)
.
At the end of this lecture, the students should be able to
1.Understand structure of research study appropriate for ANOVA test
2.Understand how to evaluate the assumptions underlying this test
3. interpret SPSS outputs and report the results
Exercise 1: Data Interpretation
Dissolved oxygen is oxygen that is trapped in a fluid, such as water. Since many living organism requires oxygen to survive, it is a necessary component of water systems such as streams, lakes and rivers in order to support aquatic life. The dissolved oxygen is measured in units of ppm (parts per million). Examine the data in Table 4 showing the amount of dissolved oxygen present and the number of fish observed in the body of water the sample was taken from; finally, answer the questions below.
Post-Lab Questions
1. What patterns do you observe based on the information in Table 4?
2. Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water.
3. What would your experimental approach be to test this hypothesis?
4. What would be the independent and dependent variables?
1) The path length from A to B in the following graph is .docxmonicafrancis71118
1) The path length from A to B in the following graph is:
a- 2
b- 10
c- 22
d- There is no path
2) The minimum path weight from A to B in the following graph is:
a- 2
b- 10
c- 32
d- There is no path
3) The minimum path weight from A to E in the following graph is:
a- 1
b- 7
c- 67
d- There is no path
4) The longest cycle that starts at A and ends at A in the following graph is:
a- 104
b- 122
c- 42
d- There is no cycle
5) The entry AE in the length one adjacency matrix representation of the following graph is:
a- 7
b-
c- 0
d- None of the above
6) The entry AB in the length one adjacency matrix representation of the following graph is:
a- 10
b-
c- 22
d- 0
7) The entry AD in the length two adjacency matrix representation of the following graph is:
a- 60
b-
c- 44
d- 0
8) In the following graph, which of the following paths is considered a simple path?
a- AECAD
b- AEBFC
c- ADBFD
d- There is no simple path in the graph above
9) Some of the cliques the following graph has include: (A clique is a subgraph that is complete which means each node in the subgraph is connected to every other node n the subgraph). In the following graph, the subgraph AEBD is not a clique because A and B are not connected and E and D are not connected also, otherwise if they were connected it would be a clique.
a- ADBE, EBFC, EB, F, C
b- AEC, DBF
c- AEB, EBC
d- AECFBD
10) (TSP): Apply the nearest-neighbor algorithm to the complete weighted graph G in the following figure, beginning at vertex B, what is the path and the total weight?
a- BADECB with weight 725
b- BAEDCB with weight 775
c- TSP does not work with complete graph
d- None of the answers is true
Experimental Design 1
Running Head: EXPERIMENTAL DESIGN
Experimental Design and Some Threats to
Experimental Validity: A Primer
Susan Skidmore
Texas A&M University
Paper presented at the annual meeting of the Southwest Educational
Research Association, New Orleans, Louisiana, February 6, 2008.
Experimental Design 2
Abstract
Experimental designs are distinguished as the best method to respond to
questions involving causality. The purpose of the present paper is to explicate
the logic of experimental design and why it is so vital to questions that demand
causal conclusions. In addition, types of internal and external validity threats are
discussed. To emphasize the current interest in experimental designs, Evidence-
Based Practices (EBP) in medicine, psychology and education are highlighted.
Finally, cautionary statements regarding experimental designs are elucidated
with examples from the literature.
Experimental Design 3
The No Child Left Behind Act (NCLB) demands “scientifically based
research” as the basis for awarding many grants in education (2001).
Specifically, the 107th Congress (2001) delineated scientifically-based research
as that which “is evaluated using experimen.
Problem 1123456Xf122437455763715813910106Name DateTopic.docxChantellPantoja184
Problem 1123456Xf122437455763715813910106
Name: Date:
Topic One: Mean, Variance, and Standard Deviation
Please type your answer in the cell beside the question.
5. The following is the heart rate for 10 randomly selected patients on the unit. Find the mean, variance, and standard deviation of the data using the descriptive statistics option in the data analysis toolpak.
75, 80, 62, 97, 107, 59, 76, 83, 84, 69
6. The following is a frequency distribution fo the number of times patience use the call light in a days time. X is the number of times the call light is used and f is the frequency (meaning the number of patients). Create a histogram of the data.
Sheet2
Sheet3
EXERCISE 11 USING STATISTICS TO DESCRIBE A STUDY SAMPLE
STATISTICAL TECHNIQUE IN REVIEW
Most studies describe the subjects that comprise the study sample. This description of the sample is called the sample characteristics which may be presented in a table or the narrative of the article. The sample characteristics are often presented for each of the groups in a study (i.e. experimental and control groups). Descriptive statistics are used to generate sample characteristics, and the type of statistic used depends on the level of measurement of the demographic variables included in a study (Burns & Grove, 2007). For example, measuring gender produces nominal level data that can be described using frequencies, percentages, and mode. Measuring educational level usually produces ordinal data that can be described using frequencies, percentages, mode, median, and range. Obtaining each subject's specific age is an example of ratio data that can be described using mean, range, and standard deviation. Interval and ratio data are analyzed with the same type of statistics and are usually referred to as interval/ratio level data in this text.
RESEARCH ARTICLE
Source: Troy, N. W., & Dalgas-Pelish, P. (2003). The effectiveness of a self-care intervention for the management of postpartum fatigue. Applied Nursing Research, 16 (1), 38–45.
Introduction
Troy and Dalgas-Pelish (2003) conducted a quasi-experimental study to determine the effectiveness of a self-care intervention (Tiredness Management Guide [TMG]) on postpartum fatigue. The study subjects included 68 primiparous mothers, who were randomly assigned to either the experimental group (32 subjects) or the control group (36 subjects) using a computer program. The results of the study indicated that the TMG was effective in reducing levels of morning postpartum fatigue from the 2nd to 4th weeks postpartum. These researchers recommend that “mothers need to be informed that they will probably experience postpartum fatigue and be taught to assess and manage this phenomenon” (Troy & Dalgas-Pelish, 2003, pp. 44-5).
Relevant Study Results
“A total of 80 women were initially enrolled [in the study] … twelve of these women dropped out of the study resulting in a final sample of 68.” (Troy & Dalgas-Pelish, 2003, p. 39). The researchers presen.
According to Davenport (2014) social media and health care are c.docxmakdul
According to Davenport (2014) social media and health care are collaborating in meeting the needs of health care providers and patients. Social media is taking a step towards focusing on an analytic model to evaluate the value of social media in healthcare. For this assignment you research and investigate the areas of social media that might embrace and benefit from an analytic model combining acquired data and value-based analytics. You will then evaluate the resource addressing the following points:
· Five major stakeholder roles of social media—patients, physicians (and other outpatient care), hospitals, payers (employers, health plans), and health information technology (IT)
· Will social media improve a practice? How so? Provide a thorough rationale.
· Provide a conclusion with the main points .
format:
· Must be two to four
· Must use at least three scholarly sources
.
According to (Fatehi, Gordon & Florida, N.D.) theoretical orient.docxmakdul
According to (Fatehi, Gordon & Florida, N.D.) theoretical orientation represent styles of mind for understanding reality. This theoretical orientation can be organized as a continuum from theoretical constructs that are independent and concrete as with the Behavioral/ CBT theories, to theoretical constructs that are interdependent and abstract as with the Psychodynamic theories (Fatehi, Gordon & Florida, N.D.). Family systems and Humanistic/Existential are theoretical midpoints (Fatehi, Gordon & Florida, N.D.). Trait theory tends to focus on the premise that we are born with traits or characteristics that make us unique and explain our behaviors (Cervone& Pervin, 2019). For example, introversion, extroversion, shyness, agreeableness, kindness, etc. all these innate characteristics that we are born help to explain why we behave in a certain manner according to the situations we face, (Cervone& Pervin, 2019). Psychoanalytic perspective on the other hand focuses on childhood experiences and the unconscious mind which plays a role in our personality development, (Cervone& Pervin, 2019).
According to Freud, (Cervone& Pervin, 2019) our unconscious mind includes all our hidden desires and conflicts which form the root cause of our mental health issues or maladaptive behaviors. The main difference between these two perspectives is that trait theory helps to explain why we behave in a certain manner, whereas psychoanalytic theory only describes the personality and predicting behavior and not really explaining why we behave the way we do. There is no such evident similarity between the two perspectives, but kind of rely on underlying mechanisms to explain personality. Also, there is some degree of subjectivity present in both the perspectives. Trait theories involve subjectivity regarding interpretations of which can be considered as important traits that explain our behaviors, and psychoanalytic theory is subjective and vague in the concepts been used like the unconscious mind. My opinions accord with the visible contrasts between the two, one focused on internal features describing our behaviors in clearer words, whilst other concentrating on unconscious mind in anticipating behavior which is ambiguous and harder to grasp.
References
Cervone, D., & Pervin, L. A. (2019). Personality: Theory and research (14th ed.). Wiley.
Fatehi, M., Gordon, R. M., & Florida, O. A Meta-Theoretical Integration of Psychotherapy Orientations.
.
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PU 515 Applied Biostatistics Final Exam 1. The.docxamrit47
PU 515
Applied Biostatistics
Final Exam
1. The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes
and participating in a study of risk factors for obesity. Body mass index is measured as the ratio of
weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of
the true BMI.
25 27 31 33 26 28 38 41 24 32 35 40
2. Consider the data in Problem #1. How many subjects would be needed to ensure that a 95%
confidence interval estimate of BMI had a margin of error not exceeding 2 units?
3. A clinical trial is run to investigate the effectiveness of an experimental drug in reducing preterm
delivery to a drug considered standard care and to placebo. Pregnant women are enrolled and
randomly assigned to receive either the experimental drug, the standard drug or placebo. Women
are followed through delivery and classified as delivering preterm (< 37 weeks) or not. The data
are shown below.
Preterm Delivery Experimental Drug Standard Drug Placebo
Yes 17 23 35
No 83 77 65
Is there a statistically significant difference in the proportions of women delivering preterm among
the three treatment groups? Run the test at a 5% level of significance.
4. Consider the data presented in problem #4. Previous studies have shown that approximately 32%
of women deliver prematurely without treatment. Is the proportion of women delivering
prematurely significantly higher in the placebo group? Run the test at a 5% level of significance.
PU 515
Applied Biostatistics
Final Exam
5. A study is run comparing HDL cholesterol levels between men who exercise regularly and those
who do not. The data are shown below.
Regular Exercise N Mean Std Dev
Yes 35 48.5 12.5
No 120 56.9 11.9
Generate a 95% confidence interval for the difference in mean HDL levels between men who
exercise regularly and those who do not.
6. A clinical trial is run to assess the effects of different forms of regular exercise on HDL levels in
persons between the ages of 18 and 29. Participants in the study are randomly assigned to one of
three exercise groups - Weight training, Aerobic exercise or Stretching/Yoga – and instructed to
follow the program for 8 weeks. Their HDL levels are measured after 8 weeks and are summarized
below.
Exercise Group N Mean Std Dev
Weight Training 20 49.7 10.2
Aerobic Exercise 20 43.1 11.1
Stretching/Yoga 20 57.0 12.5
Is there a significant difference in mean HDL levels among the exercise groups? Run the test at a
5% level of significance. HINT: SSwithin = 21,860.
7. Consider again the data in problem #6. Suppose that in the aerobic exercise group we also
measured the number of hours of aerobic exercise per week and the mean is 5.2 hours with a
standard deviation of 2.1 hours. The sample correlation is -0.42.
a) Is there evidence of a s ...
This quiz consists of 20 questions most appear to be similar but now.docxamit657720
This quiz consists of 20 questions most appear to be similar but now really. I ned someone who is familiar with bio-statistics and math. The due date is tomorrow 4 pm PST. or (16:00). Please if you accept handshake you must do the work not get from previous papers or tell me you had emergency an hour before its due. This is important to me.
attached is the file just in case you need it in word format. Thank you in advance.
1.
The standard deviation of the diameter at breast height, or DBH, of the slash pine tree is less than one inch. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1 when σ < 1 is true.
[removed] Support the claim μ < 1 when μ = 1 is true.
[removed]
Support the claim σ < 1 when σ = 1 is true.
[removed] Fail to support the claim μ < 1 when μ < 1 is true.
1a. The EPA claims that fluoride in children's drinking water should be at a mean level of less than 1.2 ppm, or parts per million, to reduce the number of dental cavities. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1.2 when σ < 1.2 is true.
[removed] Support the claim μ < 1.2 when μ = 1.2 is true.
[removed] Support the claim σ < 1.2 when σ = 1.2 is true.
[removed] Fail to support the claim μ < 1.2 when μ < 1.2 is true.
2.
Biologists are investigating if their efforts to prevent erosion on the bank of a stream have been statistically significant. For this stream, a narrow channel width is a good indicator that erosion is not occurring. Test the claim that the mean width of ten locations within the stream is greater than 3.7 meters. Assume that a simple random sample has been taken, the population standard deviation is not known, and the population is normally distributed. Use the following sample data:
3.3 3.3 3.5 4.9 3.5 4.1 4.1 5 7.3 6.2
What is the P-value associated with your test statistic? Report your answer with three decimals, e.g., .987 (Points : 1)
2a. Medical researchers studying two therapies for treating patients infected with Hepatitis C found the following data. Assume a .05 significance level for testing the claim that the proportions are not equal. Also, assume the two simple random samples are independent and that the conditions np ≥ 5 and nq ≥ 5 are satisfied.
Therapy 1
Therapy 2
Number of patients
39
47
Eliminated Hepatitis
20
13
C infection
Construct a 95% confidence interval estimate of the odds ratio of the odds for having Hepatitis C after Therapy 1 to the odds for having Hepatitis C after Therapy 2. Give your answer with two decimals, e.g., (12.34,56.78) (Points : 0.5)
[removed]
3. Researchers studying sleep loss followed the length of sleep, in hours, of 10 individuals with insomnia before and after cognitive behavioral therapy (CBT). Assume a .05 significance level to test the claim that there is a difference between the length of sleep of individuals before and after CBT. Also, assume the data consist of matched pair ...
152 pts totalFor Questions 1-2 use the 7 step process to answe.docxsandibabcock
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process.
PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women.
One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women.
In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer.
To better assess this relationship, researchers studied a group of 200 postmenopausal women.
The SPSS file is entitled,
Breast Cancer and Obesity
.
Adiposity was measured in two different ways:
(a) by body mass index (BMI) = weight (kg) / height(m
2
) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference.
BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity.
In addition, a complete hormonal profile was obtained, including serum estradiol.
Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1
st
birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
BMI has been categorized, bmi_cat, :
normal BMI (<25) and abnormal BMI (25 or greater).
Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1.
Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a.
Provide a visual aid depicting the mean differences between the two groups.
2.
Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3.
Please use the rock climbing performance dataset.
Here is the description:
This is research done by a senior at PSU-Berks.
He was interested in determining the effects of imagery on rock climbing performance.
He chose 20 experienced rock climbers.
With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty wall).
Ignoring issues of confounding, can we conclude that imagery decreases rock wall climb time (in seconds)?
(15pts)
a.
What statistical test should be use.
3.A study wants to determine if taking fish oils can reduce depr.docxcameroncourtney45
3.
A study wants to determine if taking fish oils can reduce depressive symptoms. A group of 50 volunteers who suffered from mild depression were randomly divided into two groups. Each person was given a three-month’s supply of capsules. One group was given capsules that contained fish oils while the other group was given capsules that look and tasted like fish oils, but actually only contained sugar. Neither the participants nor the investigator knew what type of capsule they were taking. At the end of the month, a psychologist evaluated them to determine if their depressive symptoms had
changed
.
Therefore, we are comparing the “change in depressive symptoms” for individuals in two groups.
Explain whether each of the following terms applies or does not apply to this study.
Why or why not?
a.
observational study
A: Does not apply: the study is not being conducted in their natural settings/groupings since they are randomly assigned to a group.
b.
randomized experiment
A: Does apply:
creates differences in explanatory variable when randomly assigning groups.
c.
placebo
d.
placebo effect
e.
single-blind
f.
double-blind
g.
matched pairs (dependent samples)
h.
block design
i.
independent samples
j.
explanatory variable (What is it?)
k.
response variable (What is it?)
4.
Does the use of cell phones lead to a higher incidence of brain cancer? People with brain cancer were matched with people who did not have brain cancer on age, gender, and living environment. Each participant in the study was asked to answer questions about previous life experiences and exposures.
Determine whether or not each of the following terms applies or does not apply to this observational study.
Why or why not?
a.
prospective
b.
retrospective
c.
case-control study
5.
A study involving ten people wants to compare the effectiveness of two different brands of antihistamines with regard to enhancing sleep. Each person is randomly assigned to take either Antihistamine A or Antihistamine B on the first night.
Then each person takes the other antihistamine on the following night.
With each person, the hours of sleep were recorded for each night. Explain whether each of the following terms applies or does not apply to this study.
Why or why not?
a.
observational study
b.
randomized experiment
c.
carry-over effect (confounding)
d.
matched pairs (dependent samples)
e.
explanatory variable (What is it?)
f.
response variable (What is it?)
6.
Suppose the study found in the previous problem instead found that each person took Antihistamine A on the first night and Antihistamine B on the second night. What terms that did not apply to the previous problem now apply to this problem? Explain.
7.
Are you annoyed with spam e-mail? Suppose a random sample of 200 Penn State students was asked this question of which 80% said that they are annoyed. From the provided information we can find the following:
sample percent = 80% (sample proportion = .80)
.
At the end of this lecture, the students should be able to
1.Understand structure of research study appropriate for ANOVA test
2.Understand how to evaluate the assumptions underlying this test
3. interpret SPSS outputs and report the results
Exercise 1: Data Interpretation
Dissolved oxygen is oxygen that is trapped in a fluid, such as water. Since many living organism requires oxygen to survive, it is a necessary component of water systems such as streams, lakes and rivers in order to support aquatic life. The dissolved oxygen is measured in units of ppm (parts per million). Examine the data in Table 4 showing the amount of dissolved oxygen present and the number of fish observed in the body of water the sample was taken from; finally, answer the questions below.
Post-Lab Questions
1. What patterns do you observe based on the information in Table 4?
2. Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water.
3. What would your experimental approach be to test this hypothesis?
4. What would be the independent and dependent variables?
1) The path length from A to B in the following graph is .docxmonicafrancis71118
1) The path length from A to B in the following graph is:
a- 2
b- 10
c- 22
d- There is no path
2) The minimum path weight from A to B in the following graph is:
a- 2
b- 10
c- 32
d- There is no path
3) The minimum path weight from A to E in the following graph is:
a- 1
b- 7
c- 67
d- There is no path
4) The longest cycle that starts at A and ends at A in the following graph is:
a- 104
b- 122
c- 42
d- There is no cycle
5) The entry AE in the length one adjacency matrix representation of the following graph is:
a- 7
b-
c- 0
d- None of the above
6) The entry AB in the length one adjacency matrix representation of the following graph is:
a- 10
b-
c- 22
d- 0
7) The entry AD in the length two adjacency matrix representation of the following graph is:
a- 60
b-
c- 44
d- 0
8) In the following graph, which of the following paths is considered a simple path?
a- AECAD
b- AEBFC
c- ADBFD
d- There is no simple path in the graph above
9) Some of the cliques the following graph has include: (A clique is a subgraph that is complete which means each node in the subgraph is connected to every other node n the subgraph). In the following graph, the subgraph AEBD is not a clique because A and B are not connected and E and D are not connected also, otherwise if they were connected it would be a clique.
a- ADBE, EBFC, EB, F, C
b- AEC, DBF
c- AEB, EBC
d- AECFBD
10) (TSP): Apply the nearest-neighbor algorithm to the complete weighted graph G in the following figure, beginning at vertex B, what is the path and the total weight?
a- BADECB with weight 725
b- BAEDCB with weight 775
c- TSP does not work with complete graph
d- None of the answers is true
Experimental Design 1
Running Head: EXPERIMENTAL DESIGN
Experimental Design and Some Threats to
Experimental Validity: A Primer
Susan Skidmore
Texas A&M University
Paper presented at the annual meeting of the Southwest Educational
Research Association, New Orleans, Louisiana, February 6, 2008.
Experimental Design 2
Abstract
Experimental designs are distinguished as the best method to respond to
questions involving causality. The purpose of the present paper is to explicate
the logic of experimental design and why it is so vital to questions that demand
causal conclusions. In addition, types of internal and external validity threats are
discussed. To emphasize the current interest in experimental designs, Evidence-
Based Practices (EBP) in medicine, psychology and education are highlighted.
Finally, cautionary statements regarding experimental designs are elucidated
with examples from the literature.
Experimental Design 3
The No Child Left Behind Act (NCLB) demands “scientifically based
research” as the basis for awarding many grants in education (2001).
Specifically, the 107th Congress (2001) delineated scientifically-based research
as that which “is evaluated using experimen.
Problem 1123456Xf122437455763715813910106Name DateTopic.docxChantellPantoja184
Problem 1123456Xf122437455763715813910106
Name: Date:
Topic One: Mean, Variance, and Standard Deviation
Please type your answer in the cell beside the question.
5. The following is the heart rate for 10 randomly selected patients on the unit. Find the mean, variance, and standard deviation of the data using the descriptive statistics option in the data analysis toolpak.
75, 80, 62, 97, 107, 59, 76, 83, 84, 69
6. The following is a frequency distribution fo the number of times patience use the call light in a days time. X is the number of times the call light is used and f is the frequency (meaning the number of patients). Create a histogram of the data.
Sheet2
Sheet3
EXERCISE 11 USING STATISTICS TO DESCRIBE A STUDY SAMPLE
STATISTICAL TECHNIQUE IN REVIEW
Most studies describe the subjects that comprise the study sample. This description of the sample is called the sample characteristics which may be presented in a table or the narrative of the article. The sample characteristics are often presented for each of the groups in a study (i.e. experimental and control groups). Descriptive statistics are used to generate sample characteristics, and the type of statistic used depends on the level of measurement of the demographic variables included in a study (Burns & Grove, 2007). For example, measuring gender produces nominal level data that can be described using frequencies, percentages, and mode. Measuring educational level usually produces ordinal data that can be described using frequencies, percentages, mode, median, and range. Obtaining each subject's specific age is an example of ratio data that can be described using mean, range, and standard deviation. Interval and ratio data are analyzed with the same type of statistics and are usually referred to as interval/ratio level data in this text.
RESEARCH ARTICLE
Source: Troy, N. W., & Dalgas-Pelish, P. (2003). The effectiveness of a self-care intervention for the management of postpartum fatigue. Applied Nursing Research, 16 (1), 38–45.
Introduction
Troy and Dalgas-Pelish (2003) conducted a quasi-experimental study to determine the effectiveness of a self-care intervention (Tiredness Management Guide [TMG]) on postpartum fatigue. The study subjects included 68 primiparous mothers, who were randomly assigned to either the experimental group (32 subjects) or the control group (36 subjects) using a computer program. The results of the study indicated that the TMG was effective in reducing levels of morning postpartum fatigue from the 2nd to 4th weeks postpartum. These researchers recommend that “mothers need to be informed that they will probably experience postpartum fatigue and be taught to assess and manage this phenomenon” (Troy & Dalgas-Pelish, 2003, pp. 44-5).
Relevant Study Results
“A total of 80 women were initially enrolled [in the study] … twelve of these women dropped out of the study resulting in a final sample of 68.” (Troy & Dalgas-Pelish, 2003, p. 39). The researchers presen.
According to Davenport (2014) social media and health care are c.docxmakdul
According to Davenport (2014) social media and health care are collaborating in meeting the needs of health care providers and patients. Social media is taking a step towards focusing on an analytic model to evaluate the value of social media in healthcare. For this assignment you research and investigate the areas of social media that might embrace and benefit from an analytic model combining acquired data and value-based analytics. You will then evaluate the resource addressing the following points:
· Five major stakeholder roles of social media—patients, physicians (and other outpatient care), hospitals, payers (employers, health plans), and health information technology (IT)
· Will social media improve a practice? How so? Provide a thorough rationale.
· Provide a conclusion with the main points .
format:
· Must be two to four
· Must use at least three scholarly sources
.
According to (Fatehi, Gordon & Florida, N.D.) theoretical orient.docxmakdul
According to (Fatehi, Gordon & Florida, N.D.) theoretical orientation represent styles of mind for understanding reality. This theoretical orientation can be organized as a continuum from theoretical constructs that are independent and concrete as with the Behavioral/ CBT theories, to theoretical constructs that are interdependent and abstract as with the Psychodynamic theories (Fatehi, Gordon & Florida, N.D.). Family systems and Humanistic/Existential are theoretical midpoints (Fatehi, Gordon & Florida, N.D.). Trait theory tends to focus on the premise that we are born with traits or characteristics that make us unique and explain our behaviors (Cervone& Pervin, 2019). For example, introversion, extroversion, shyness, agreeableness, kindness, etc. all these innate characteristics that we are born help to explain why we behave in a certain manner according to the situations we face, (Cervone& Pervin, 2019). Psychoanalytic perspective on the other hand focuses on childhood experiences and the unconscious mind which plays a role in our personality development, (Cervone& Pervin, 2019).
According to Freud, (Cervone& Pervin, 2019) our unconscious mind includes all our hidden desires and conflicts which form the root cause of our mental health issues or maladaptive behaviors. The main difference between these two perspectives is that trait theory helps to explain why we behave in a certain manner, whereas psychoanalytic theory only describes the personality and predicting behavior and not really explaining why we behave the way we do. There is no such evident similarity between the two perspectives, but kind of rely on underlying mechanisms to explain personality. Also, there is some degree of subjectivity present in both the perspectives. Trait theories involve subjectivity regarding interpretations of which can be considered as important traits that explain our behaviors, and psychoanalytic theory is subjective and vague in the concepts been used like the unconscious mind. My opinions accord with the visible contrasts between the two, one focused on internal features describing our behaviors in clearer words, whilst other concentrating on unconscious mind in anticipating behavior which is ambiguous and harder to grasp.
References
Cervone, D., & Pervin, L. A. (2019). Personality: Theory and research (14th ed.). Wiley.
Fatehi, M., Gordon, R. M., & Florida, O. A Meta-Theoretical Integration of Psychotherapy Orientations.
.
According to Libertarianism, there is no right to any social service.docxmakdul
According to Libertarianism, there is no right to any social services besides those of a night-watchman state, protecting citizens from harming each other via courts, police, and military.
Consider this town
that decided to remove fire rescue as a basic social service. To benefit from it, one had to pay a yearly fee. Do you think libertarians would generally have to support such a policy in order to be consistent? Why or why not? Also, can you think of any other social services that might no longer exist in a libertarian society? (Btw, none has ever existed).
.
According to Kirk (2016), most of your time will be spent working wi.docxmakdul
According to Kirk (2016), most of your time will be spent working with your data. The four following group actions were mentioned by Kirk (2016):
Data acquisition: Gathering the raw material
Data examination: Identifying physical properties and meaning
Data transformation: Enhancing your data through modification and consolidation
Data exploration: Using exploratory analysis and research techniques to learn
Select 1 data action and elaborate on the actions performed in that action group.
.
According to cultural deviance theorists like Cohen, deviant sub.docxmakdul
According to cultural deviance theorists like Cohen, deviant subcultures have their own value system that often opposes those of society at large. These contradictory "values" have been embraced by generations within that culture—and as a way to act out against the majority value system from which they feel excluded. Write an essay of 750-1,000 words that addresses the following:
How has rap culture perpetuated subcultural values, and promoted violence and crime among young men?
Given its sharp deviation from conventional values and norms, how and why would theorists explain the persistence and popularity of this subculture? (See examples Tupac Shakur page 109-110 and 50 Cent page 135).
Be sure to cite three to five relevant scholarly sources in support of your content
.
According to Gray et al, (2017) critical appraisal is the proce.docxmakdul
According to Gray et al, (2017) “critical appraisal is the process of carefully and systematically assessing the outcome of all aspects of a study, judging the strengths, limitation, trustworthiness, meaning, and its applicability to practice”. The steps involved in critical appraisal include “identifying the study's elements or processes, determining the strengths and weaknesses, and evaluating the credibility and trustworthiness of the study” (Gray et al., 2017). The journal article chosen is
“change in staff perspectives on indwelling urinary catheter use after implementation of an intervention bundle in seven Swiss acute care hospitals: a result of a before/after survey study”
by Niederhauser, Zullig, Marschall, Schweiger, John, Kuster, and Schwappach. (2019).
Identifying the study's elements or processes
A significant issue addressed by the study is the nursing “staffs’ perspective towards indwelling urinary catheter (IUC) and evaluation of changes in their perspectives towards indwelling urinary catheter (IUC) use after implementation of a 1-year quality improvement project” (Niederhauser et al, 2019). the process of the research was conducted in “seven acute care hospitals in Switzerland” (Niederhauser et al, 2019). With a “sample size of 1579 staff members participated in the baseline survey and 1527 participated in the follow-up survey. The survey captures all nursing and medical staff members working at the participating hospitals at the time of survey distribution, using a multimodal intervention bundle, consisting of an evidence-based indication list, daily re-evaluation of ongoing catheter needs, and staff training were implemented over the course of 9 months” (Niederhauser et al, 2019).
Determining the strengths and weaknesses
A great strength of the study is a large sample size of over 1000 and the use of well-constructed and easy-to-read heading for better understanding. Also, the use of figures, graphs, and tables make the article less cumbersome to read. Another strength is the implementation of the ethical principles of research by enabling informed consent and voluntary participation as well as confidentiality and anonymity of information.
On the other hand, the study has several weaknesses such as the use of “the theory of planned behavior to model intentions to reduce catheter use, but it is not possible to know if changes observed in staff perception led to a true change in practice” (Niederhauser et al, 2019). Another weakness of the study is the repeated survey design which allows assessment of changes in staff perspectives after implementation of a quality improvement intervention but the sustainability of the effects over time could not be evaluated.
Evaluating the credibility and trustworthiness of the study
Although the study used a larger sample size of over 1000, the “use of a single-group design and no control group weakens its credibility and trustworthiness because there are no causal inferences abou.
According to article Insecure Policing Under Racial Capitalism by.docxmakdul
According to article "Insecure: Policing Under Racial Capitalism" by Robin D.G. Kelley and the article "Yes, We Mean Literally Abolish the Police" by Mariame Kaba, the police are no longer an attribute of safety and security. The facts that are given in the articles are similar within the meaning of the content. The police do not serve for the benefit of the whole community. Racial and class division according to social status became the basis of lawlessness and injustice on the part of the police. Kaaba in his article cites several stories confirming the racial hatred that led to the murder of African Americans. After that, people massively took to the streets of many cities in several countries, demanding an end to racial discrimination and the murder of African Americans. Kelley's article describes numerous manifestos where demands for police abolition have been raised, but all have been rejected. In the protests, people suggested that they themselves would take care of each other, which the police could not do. I understand that the police system is far from ideal and the permissiveness of police representatives should be limited. Ruth Wilson Gilmore says that "capitalism is never racial." I think that this phrase she wants to say that the stronger people take away from the weak people and use them for their own well-being. And since the roots of history go back to slavery, then African Americans are the weak link. In this regard, a huge number of prisons and police power appeared. The common and small class do not feel protected, on the contrary; they expect a threat from people who must protect them. The police take an oath to respect and protect human and civil rights and freedoms, regardless of skin color and social status. If this does not happen, then you need to change the system.
.
Abstract In this experiment, examining the equivalence poi.docxmakdul
Abstract:
In this experiment, examining the equivalence point in a titration with NaOH identified an
unknown diprotic acid. The molar mass of the unknown was found to be 100.78 g/mol with pKa
values of 2.6 and 6.6. The closest diprotic acid to this molar mass is malonic acid with a percent
error of 3.48%.
Introduction:
The purpose of the experiment was to determine the identity of an unknown diprotic acid. The
equivalence and half-equivalence points on the titration curve give important information, which
can then be used to calculate the molecular weight of the acid. The equivalence point is the
moment when there is an equal amount of acid and NaOH. Knowing the concentration and
volume of added NaOH at that moment, the amount of moles of NaOH can be determined. The
amount of moles of NaOH is then equivalent to the amount of acid present. Dividing the original
mass of the acid by the moles present gave the molar mass of the acid.
In this particular titration, there were two equivalence points as the acid is diprotic.
Consequently, the titration curve had two inflection points. The acid dissociated in a two-step
process with the net reaction being:
H2X + 2 NaOH Na2X + 2 H2O
This was important to take into consideration when calculating the molar mass of the diprotic
acid. If the first equivalence point was to be used, the ratio of acid to NaOH was 1:1. If the
second equivalence point was used in the calculations, the ratio became 1:2 as now a second
set of NaOH molecules reacted with the acid to dissociate the second hydrogen ion. The
titration curve also showed the pKa values of the acid. This happened at the half-equivalence
point where half of the acid was dissociated to its conjugate base (again, because of the diprotic
properties of the acid, this happens twice on the curve). The Henderson Hasselbalch equation
pH = pKa+log(A-/HA)
shows that at the half-equivalence point, the pKa value equaled the pH and was visually
represented by the flattest part of the graphs.
Discussion:
The titration graph showed that the data was consistent with the methodology and proved to be
an precise execution of the procedure and followed the expected shape. One possible source of
error was the actual mass of the acid solid. While transferring the dust from the weigh boat to
the solution, some remained in the weigh boat this could have altered the molar mass
calculations and shifted the final the final mass lighter than actual.
The Vernier pH method was definitely a much more concrete method of interpreting the results.
It was possible to see which addition of NaOH gave the greatest increase in pH ( greatest 1st
derivative of the titration graph). The relying solely on the indicator color would make it very
difficult to judge at which precise point the color shifted most, as the shift was a lot more gradual
compared to the precise numbers. This may have been a more reliable method if there was a
de.
ACC 403- ASSIGNMENT 2 RUBRIC!!!
Points: 280
Assignment 2: Audit Planning and Control
Criteria
UnacceptableBelow 60% F
Meets Minimum Expectations60-69% D
Fair70-79% C
Proficient80-89% B
Exemplary90-100% A
1. Outline the critical steps inherent in planning an audit and designing an effective audit program. Based upon the type of company selected, provide specific details of the actions that the company should undertake during planning and designing the audit program.
Weight: 15%
Did not submit or incompletely outlined the critical steps inherent in planning an audit and designing an effective audit program. Did not submit or incompletely provided specific details of the actions that the company should undertake during planning and designing the audit program, based upon the type of company selected.
Insufficiently outlined the critical steps inherent in planning an audit and designing an effective audit program. Insufficiently provided specific details of the actions that the company should undertake during planning and designing the audit program, based upon the type of company selected.
Partially outlined the critical steps inherent in planning an audit and designing an effective audit program. Partially provided specific details of the actions that the company should undertake during planning and designing the audit program, based upon the type of company selected.
Satisfactorily outlined the critical steps inherent in planning an audit and designing an effective audit program. Satisfactorily provided specific details of the actions that the company should undertake during planning and designing the audit program, based upon the type of company selected.
Thoroughly outlined the critical steps inherent in planning an audit and designing an effective audit program. Thoroughly provided specific details of the actions that the company should undertake during planning and designing the audit program, based upon the type of company selected.
2. Examine at least two (2) performance ratios that you would use in order to determine which analytical tests to perform. Identify the accounts that you would test, and select at least three (3) analytical procedures that you would use in your audit.
Weight: 15%
Did not submit or incompletely examined at least two (2) performance ratios that you would use in order to determine which analytical tests to perform. Did not submit or incompletely identified the accounts that you would test; did not submit or incompletely selected at least three (3) analytical procedures that you would use in your audit.
Insufficiently examined at least two (2) performance ratios that you would use in order to determine which analytical tests to perform. Insufficiently identified the accounts that you would test; insufficiently selected at least three (3) analytical procedures that you would use in your audit.
Partially examined at least two (2) performance ratios that you would use in order to determine which analytical tests .
ACC 601 Managerial Accounting Group Case 3 (160 points) .docxmakdul
ACC 601 Managerial Accounting
Group Case 3 (160 points)
Instructions:
1. As a group, complete the following activities in good form. Use excel or
word only. Provide all supporting calculations to show how you arrived at
your numbers
2. Add only the names of group members who participated in the completion
of this assignment.
3. Submit only one copy of your completed work via Moodle. Do not send it to
me by email.
4. Due: No later than the last day of Module 7. Please note that your professor
has the right to change the due date of this assignment.
Part A: Capital Budgeting Decisions
Chee Company has gathered the following data on a proposed investment project:
Investment required in equipment ............. $240,000
Annual cash inflows .................................. $50,000
Salvage value ............................................ $0
Life of the investment ............................... 8 years
Required rate of return .............................. 10%
Assets will be depreciated using straight
line depreciation method
Required:
Using the net present value and the internal rate of return methods, is this a good investment?
Part B: Master Budget
You have just been hired as a new management trainee by Earrings Unlimited, a distributor of
earrings to various retail outlets located in shopping malls across the country. In the past, the
company has done very little in the way of budgeting and at certain times of the year has
experienced a shortage of cash. Since you are well trained in budgeting, you have decided to
prepare a master budget for the upcoming second quarter. To this end, you have worked with
accounting and other areas to gather the information assembled below.
The company sells many styles of earrings, but all are sold for the same price—$10 per pair. Actual
sales of earrings for the last three months and budgeted sales for the next six months follow (in pairs
of earrings):
January (actual) 20,000 June (budget) 50,000
February (actual) 26,000 July (budget) 30,000
March (actual) 40,000 August (budget) 28,000
April (budget) 65,000 September (budget) 25,000
May (budget) 100,000
The concentration of sales before and during May is due to Mother’s Day. Sufficient inventory should
be on hand at the end of each month to supply 40% of the earrings sold in the following month.
Suppliers are paid $4 for a pair of earrings. One-half of a month’s purchases is paid for in the month
of purchase; the other half is paid for in the following month. All sales are on credit. Only 20% of a
month’s sales are collected in the month of sale. An additional 70% is collected in the following
month, and the remaining 10% is collected in the second month following sale. Bad debts have been
negligible.
Monthly operating expenses for the company are given below:
Variable:
Sales commissions 4 % of sales
.
Academic Integrity A Letter to My Students[1] Bill T.docxmakdul
Academic Integrity:
A Letter to My Students[1]
Bill Taylor
Professor of Political Science
Oakton Community College
Des Plaines, IL 60016
[email protected]
Here at the beginning of the semester I want to say something to you about academic integrity.[2]
I’m deeply convinced that integrity is an essential part of any true educational experience, integrity on
my part as a faculty member and integrity on your part as a student.
To take an easy example, would you want to be operated on by a doctor who cheated his way through
medical school? Or would you feel comfortable on a bridge designed by an engineer who cheated her
way through engineering school. Would you trust your tax return to an accountant who copied his
exam answers from his neighbor?
Those are easy examples, but what difference does it make if you as a student or I as a faculty member
violate the principles of academic integrity in a political science course, especially if it’s not in your
major?
For me, the answer is that integrity is important in this course precisely because integrity is important in
all areas of life. If we don’t have integrity in the small things, if we find it possible to justify plagiarism or
cheating or shoddy work in things that don’t seem important, how will we resist doing the same in areas
that really do matter, in areas where money might be at stake, or the possibility of advancement, or our
esteem in the eyes of others?
Personal integrity is not a quality we’re born to naturally. It’s a quality of character we need to nurture,
and this requires practice in both meanings of that word (as in practice the piano and practice a
profession). We can only be a person of integrity if we practice it every day.
What does that involve for each of us in this course? Let’s find out by going through each stage in the
course. As you’ll see, academic integrity basically requires the same things of you as a student as it
requires of me as a teacher.
I. Preparation for Class
What Academic Integrity Requires of Me in This Area
With regard to coming prepared for class, the principles of academic integrity require that I come having
done the things necessary to make the class a worthwhile educational experience for you. This requires
that I:
reread the text (even when I’ve written it myself),
clarify information I might not be clear about,
prepare the class with an eye toward what is current today (that is, not simply rely on past
notes), and
plan the session so that it will make it worth your while to be there.
What Academic Integrity Requires of You in This Area
With regard to coming prepared for class, the principles of academic integrity suggest that you have a
responsibility to yourself, to me, and to the other students to do the things necessary to put yourself in
a position to make fruitful contributions to class discussion. This will require you to:
read the text before.
Access the Center for Disease Control and Prevention’s (CDC’s) Nu.docxmakdul
Access the Center for Disease Control and Prevention’s (CDC’s)
“Nutrition, Physical Activity, and Obesity: Data, Trends and Maps”
database. Choose a state other than your home state and compare their health status and associated behaviors. What behaviors lead to the current obesity status?
Initial discussion post should be approximately 300 words. Any sources used should be cited in APA format.
.
According to DSM 5 This patient had very many symptoms that sugg.docxmakdul
According to DSM 5 This patient had very many symptoms that suggested Major Depressive Disorder.
Objective(s)
Analyze psychometric properties of assessment tools
Evaluate appropriate use of assessment tools in psychotherapy
Compare assessment tools used in psychotherapy
.
Acceptable concerts include professional orchestras, soloists, jazz,.docxmakdul
Acceptable concerts include professional orchestras, soloists, jazz, Broadway musicals and instrumental or vocal ensembles, and comparable college or community groups performing music relevant to the content of this class. (Optionally, either your concert report
or
your concert review - but not both unless advance permission is given - may be based on a concert of non-western music selected from events on the concert list.)
Acceptable concerts include the following:
• Symphony orchestras • Concert bands and wind ensembles • Chamber Music (string quartets, brass and woodwind quintets, etc.) • Solo recitals (piano, voice, etc.) • Choral concerts • Early music concerts • Non-western music • Some jazz concerts • Opera• Broadway Musicals• Flamenco• Ballet• Tango
Assignment Format
The following are required on the concert review assignment and, thus, may affect your grade.
• Must be typed• Must be double-spaced• Must be between
2 and 4 pages
in length
not including the cover sheet
.• Must use conventional size and formatting of text - e.g. 10-12 point serif or sans serif fonts with normal margins. • Must include the printed program from the concert and/or your ticket stubs. Photocopies are unacceptable. (Contact me at least 24 hours before due date if any materials are unavailable.)• All materials (text, program, ticket stub) must be
stapled
together securely. Folded corners, paper clips, etc. instead of staples will not be accepted.• Careful editing, proofreading, and spelling are expected, although minor errors will not affect your grade.
Papers that do not follow these format guidelines may be returned for resubmission, and late penalties will apply.
Concert Review Assignment Content
I. Cover Sheet:
Include the following on a cover sheet attached to the front of your review:
• Title or other description of the event/performers you heard, along with the date and location of the performance. For example:
New World Symphony Orchestra
1258 Lincoln Road
Saturday, June 5, 2013
Lincoln Road Theater, Miami Beach
• Your name, assignment submission date, course. For example:
Pat Romero
October 31, 2013
Humanities 1020 MWF 8:05 a.m.
II. Descriptions
The main body of the concert review should include brief discussions of
three of the
pieces
in the concert you attend. In most cases, a single paragraph for each piece should be sufficient, although you may wish to break descriptions of longer pieces into separate short paragraphs, one per movement.
Your description of each piece (song) should include:
• The title of the piece and the composer's name if possible, as listed in the concert program.• A brief description of your reaction to the piece. For example:
When the piece started I thought it was going to be slow and boring, but the faster section in the first movement made it more exciting. A really great flute solo full of fast and high notes in the third movement caught my attention. I'm not sure, but I thought that som.
ACA was passed in 2010, under the presidency of Barack Obama. Pr.docxmakdul
ACA was passed in 2010, under the presidency of Barack Obama. Prior to this new act, there were plenty of votes that did not agree with the notion of accessible insurance. Before 2010, The private sector had been given coverage in such a way that Milstead and Short (2019) called it sickness insurance; meaning companies will risk incurring medical expenses as long as it was balanced by healthy people. They were doing so by excluding people that had pre-existing conditions, becoming a very solvent business (Milstead & Short, 2019). After ACA was passed that was no longer the case. When President Trump came into term he did so by bringing his own healthcare agenda, which attempted to repeal ACA, but ultimately failed to come up with a replacement.
In 2016, the Republican's party platform was to repeal ACA, while continuing Medicare and Medicaid, but on the other hand, democrats put down that Obamacare is a step towards the goals of universal health care, and that this was just the beginning (Physicians for a National Health Program, n.d.). As for the cost analysis of repealing the Affordable Care Act, this would increase the number of uninsured people by 23 million, and it will cost about 350 billion through 2027, as well as creating costly coverage provisions to replace it (Committee for a Responsible Federal Budget, 2017).
(2 references required)
.
Access the FASB website. Once you login, click the FASB Accounting S.docxmakdul
Access the FASB website. Once you login, click the FASB Accounting Standards Codification link. Review the materials in the FASB Codification, especially the links on the left side column. Next, write a 1-page memo to a friend introducing and explaining this new accounting research resource that you have found. Provide at least one APA citation to the FASB Codification and reference that citation using the APA guidelines.
.
Academic Paper Overview This performance task was intended to asse.docxmakdul
Academic Paper Overview This performance task was intended to assess students’ ability to conduct scholarly and responsible research and articulate an evidence-based argument that clearly communicates the conclusion, solution, or answer to their stated research question. More specifically, this performance task was intended to assess students’ ability to: • Generate a focused research question that is situated within or connected to a larger scholarly context or community; • Explore relationships between and among multiple works representing multiple perspectives within the scholarly literature related to the topic of inquiry; • Articulate what approach, method, or process they have chosen to use to address their research question, why they have chosen that approach to answering their question, and how they employed it; • Develop and present their own argument, conclusion, or new understanding while acknowledging its limitations and discussing implications; • Support their conclusion through the compilation, use, and synthesis of relevant and significant evidence generated by their research; • Use organizational and design elements to effectively convey the paper’s message; • Consistently and accurately cite, attribute, and integrate the knowledge and work of others, while distinguishing between their voice and that of others; and • Generate a paper in which word choice and syntax enhance communication by adhering to established conventions of grammar, usage, and mechanics.
.
Academic Research Team Project PaperCOVID-19 Open Research Datas.docxmakdul
Academic Research Team Project Paper
COVID-19 Open Research Dataset Challenge (CORD-19)
An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House
(1) FULL-LENGTH PROJECT
Dataset Description
In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related corona viruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.
Call to Action
We are issuing a call to action to the world's artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.
A list of our initial key questions can be found under the
Tasks
section of this dataset. These key scientific questions are drawn from the NASEM’s SCIED (National Academies of Sciences, Engineering, and Medicine’s Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats)
research topics
and the World Health Organization’s
R&D Blueprint
for COVID-19.
Many of these questions are suitable for text mining, and we encourage researchers to develop text mining tools to provide insights on these questions.
In this project, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared in your presentation. You will use all the skills taught in this course to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next, you will create a dashboard that will allow you to explore the data in-depth and identify meaningful insights. You will then give structure .
AbstractVoice over Internet Protocol (VoIP) is an advanced t.docxmakdul
Abstract
Voice over Internet Protocol (VoIP) is an advanced telecommunication technology which transfers the voice/video over
high speed network that provides advantages of flexibility, reliability and cost efficient advanced telecommunication
features. Still the issues related to security are averting many organizations to accept VoIP cloud environment due to
security threats, holes or vulnerabilities. So, the novel secured framework is absolutely necessary to prevent all kind of
VoIP security issues. This paper points out the existing VoIP cloud architecture and various security attacks and issues
in the existing framework. It also presents the defense mechanisms to prevent the attacks and proposes a new security
framework called Intrusion Prevention System (IPS) using video watermarking and extraction technique and Liveness
Voice Detection (LVD) technique with biometric features such as face and voice. IPSs updated with new LVD features
protect the VoIP services not only from attacks but also from misuses.
A Comprehensive Survey of Security Issues and
Defense Framework for VoIP Cloud
Ashutosh Satapathy* and L. M. Jenila Livingston
School of Computing Science and Engineering, VIT University, Chennai - 600127, Tamil Nadu, India;
[email protected], [email protected]
Keywords: Defense Mechanisms, Liveness Voice Detection, VoIP Cloud, Voice over Internet Protocol, VoIP Security Issues
1. Introduction
The rapid progress of VoIP over traditional services is
led to a situation that is common to many innovations
and new technologies such as VoIP cloud and peer to
peer services like Skype, Google Hangout etc. VoIP is the
technology that supports sending voice (and video) over
an Internet protocol-based network1,2. This is completely
different than the public circuit-switched telephone net-
work. Circuit switching network allocates resources to
each individual call and path is permanent throughout
the call from start to end. Traditional telephony services
are provided by the protocols/components such as SS7, T
carriers, Plain Old Telephone Service (POTS), the Public
Switch Telephone Network (PSTN), dial up, local loops
and anything under International Telecommunication
Union. IP networks are based on packet switching and
each packet follows different path, has its own header and
is forwarded separately by routers. VoIP network can be
constructed in various ways by using both proprietary
protocols and protocols based on open standards.
1.1 VoIP Layer Architecture
VoIP communication system typically consist of a front
end platform (soft-phone, PBX, gateway, call manager),
back end platform (server, CPU, storage, memory, net-
work) and intermediate platforms such as VoIP protocols,
database, authentication server, web server, operating sys-
tems etc. It is mainly divided into five layers as shown in
Figure1.
1.2 VoIP Cloud Architecture
VoIP cloud is the framework for delivering telephony
services in which resourc.
Abstract
Structure of Abstract
Background on the problem
purpose/objective of the study
Method used
Interpretation of results
Conclusion&Recommendation for future research
.
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.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
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
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
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.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
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?
Chapter 3 - Islamic Banking Products and Services.pptx
Question 9.3 - In an experiment with t = 4 population means, consi.docx
1. Question 9.3 - In an experiment with t = 4 population means,
consider the four linear combinations of those means.
= - + +
= + -
= + + +
= + - +
a) Which of the four linear combinations are contrasts?
b) Which pairs of contrasts are orthogonal?
C) Suppose we have two contrasts:
= + - - and = + + -
Is testing : = 0 equivalent to testing : = 0 ? Justify your answer
Question 9.6 - Refer to Example 8.6 9(below). The political
action group was interested in determining regional differences
in the public’s opinion concerning air pollution. Write a
contrast in the four population means to answer each of the
following questions.
a. Question 1: Is the proportion of people who thought the
EPA’s standards are not stringent enough different for the
people living in the East compared to the people living in the
West?
b. Question 2: Is the proportion of people who thought the
EPA’s standards are not stringent enough different for the
people living in the Northeast compared to the people living in
the other three regions?
c. Question 3: Is the proportion of people who thought the
EPA’s standards are not stringent enough different for the
people living in the Northeast compared to the people living in
the Southeast?
d. Simultaneously test if the three contrasts are different from 0
using an a = .05 test.
e. Are the three contrasts mutually orthogonal?
2. Example 8.6 9
A political action group conducted a national opinion poll to
evaluate the voting public’s opinion concerning whether the
new EPA regulations on air pollution were stringent enough to
protect the public’s health. The group was also interested in
determining if there were regional differences in the public’s
opinion concerning air pollution. For this poll, the country was
divided into four geographical regions (NE, SE, MW, W). A
random sample of 100 registered voters was obtained from each
of six standard metropolitan statistical areas (SMSAs) located
in each of the four regions. The data in Table 8.21 are the
sample proportions, , of people who thought the EPA standards
were not stringent enough for the 24 SMSAs.
a. Is there a significant difference in the variability of the four
region’s proportion? Use a = 5 .
b. Transform the data using arcsin .
c. Compute the sample means and sample standard deviations
for the transformed data. Did the transformation yield a
stabilization of the variances?
Question 9.5 - In a study of 10 new procedures of iron
supplement, nine contrasts in the mean iron level in the
supplement were constructed by the quality control department
for comparing various characteristics of the procedures.
a. In order to achieve an experimentwise error rate of 0.05, what
value should be selected for the value of
b. What is the critical value for the F statistic for testing the
nine contrasts if there were six samples of the supplement taken
from each of the 10 procedures?
Question 9.13 – Researchers conducted an experiment to
compare the effectiveness of four new weight-reducing agents
to that of an existing agent. The researchers randomly divided a
random sample of 50 males into five equal groups, with
3. preparation A1 assigned to the first group, A2 to the second
group, and so on. They then gave a prestudy physical to each
person in the experiment and told him how many pounds
overweight he was. A comparison of the mean number of
pounds overweight for the groups showed no significant
differences. The researchers then began the study program, and
each group took the prescribed preparation for a fixed period of
time. The weight losses recorded at the end of the study period
are given here:
A1
12.4
10.7
11.9
11.0
12.4
12.3
13.0
12.5
11.2
13.1
A2
9.1
11.5
6. 9.2
12.2
8.5
9.9
The standard (existing) agent is labeled agent S, and the four
new agents are labeled,, , and . Run an analysis of variance to
determine whether there are significant differences among the
five weight-reducing agents. Use α = .05. Do any of the AOV
assumptions appear to be violated? What conclusions do you
reach concerning the mean weight loss achieved using the five
different agent?
Question 9.17 – Refer to exercise 9.13. Suppose the new
weight-loss agents were of the following forms:
Refer to Exercise 9.13. Suppose the new weight- loss agents
were of the following form:
A1: Drug therapy with exercise and counseling
A2: Drug therapy with exercise but no counseling
A3: Drug therapy with counseling but no exercise
A4: Drug therapy with no exercise and no counseling
Construct contrasts to make comparisons among the agent
means that will address the following:
a. Compare the mean for the standard agent to the average of
the means for the four new agents.
b. Compare the mean for the agents with counseling to those
without counseling. (Ignore the standard.)
c. Compare the mean for the agents with exercise to those
without exercise. (Ignore the standard.)
d. Compare the mean for the agents with counseling to the
standard.
7. Question 9.23 - Researchers conducted a study of the effects of
three drugs on the fat content of the shoulder muscles in
labrador retrievers. They divided 80 dogs at random into four
treatment groups. The dogs in group A were the untreated
controls, while groups B, C, and D received one of three new
heartworm medications in their diets. Five dogs randomly
selected from each of the four groups received varying lengths
of treatment from 4 months to 2 years. The percentage fat
content of the shoulder muscles was determined and is given
here.
Treatment
ExamTime
%Fat
A
4months
2.84
A
4months
2.49
A
4months
2.50
A
4months
2.42
A
4months
2.61
A
8months
2.23
A
8months
2.48
A
14. 2years
2.68
Under the assumptions that conditions for an AOV were met,
the researchers then computed an AOV to evaluate the
difference in mean percentage fat content for dogs under the
four treatments. The AOV computations did not takes into
account the length of time on the medication. The AOV is given
here.
a. Is there a significant difference in the mean fat content in the
four treatment groups? Use α = 5 .
b. Do any of the three treatments for heartworm appear to have
increased the mean fat content over the level in the control
group?
Question 9.27 – The paper “The effect of an endothelin-receptor
antagonist, bosentan, on blood pressure in patients with
essential hypertension’’ [1998, The New England Journal of
Medicine, 338:784 –790] discussed the contribution of bosentan
to blood pressure regulation in patients with essential
hypertension. The study involved 243 patients with mild-to-
moderate essential hypertension. After a placebo run-in period,
patients were randomly assigned to receive one of four oral
doses of bosentan (100, 500, or 1,000 mg once daily, or 1,000
mg twice daily) or a placebo. The blood pressure was measured
before treatment began and after a 4-week treatment period. The
primary end point of the study was the change in blood pressure
from the base line obtained prior to treatment to the blood
pressure at the conclusion of the 4-week treatment period. A
summary of the data is given in the following table.
15. Calculate Tukey's W .You need to have equal sample sizes
across your means
a. Which of the dose levels were associated with a significantly
greater reduction in the diastolic pressure in comparison to the
placebo? Use α = .05.
b. Why was it important to include a placebo treatment in the
study?
c. Using just the four treatments (ignore the placebo), construct
a contrast to test for an increasing linear trend in the size of the
systolic pressure reductions as the dose levels are increased.
See Exercise 9.25 for the method for creating such a contrast.
d. Use the SNK procedure to test for pairwise differences in the
mean systolic blood pressure reduction for the four treatment
doses. Use α = .05
e. The researchers referred to their study as a double-
blind study. Explain the meaning of this terminology.