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Microsoft Word - Psy 5 Exam 3.docx

PSYCHOLOGY 5

MIDTERM EXAM #3

RAY GRIMM, Ph.D.

Name: ________________________________________

Multiple Choice. Mark your answers on Midterm 3 in Quizzes in Canvas. When indicated, either show your work

or attach (or hand copy) StatCrunch tables to this worksheet. If you do not show your work or attach the required

tables, you will not receive credit for the problem even if you marked the answer correctly on Quiz – Midterm 3..

1. A cognitive psychologist studied memory for manes after a group activity that lasted 20 minutes.

Participants were not told that this was study of memory. After the group activity, participants were asked

to name the other group members. The researcher randomly assigned 120 participants to one of three

conditions: (1) group members introduce themselves once (one introduction only) (2) group members were

introduced by the experimenter and by themselves (two introductions), and (3) group members were

introduced by the experimenter and themselves and also wore name tags throughout the group activity (two

introductions and name tags. What is the correct statistic for this study?

A. z for a sample mean

B. single sample t

C. independent measures t

D. repeated/related measures t

E. independent measures ANOVA

2. Psychologist Anna Fisher and her colleagues conducted a study in which they researched whether

kindergarten students learned better in decorated classrooms or undecorated classrooms, referred to as

“sparse classrooms”. They wondered whether students would be less distracted and learn better without

decorations such as posters, maps, and children’s artwork. The same group of children had science lessons

in a classroom without decorations and in a classroom with decorations. The students took a test on the

material after each condition. Each child received a percentage-correct score,, out of 100%, for each

condition. Which is the correct statistic for their study?

A. z for a sample mean

B. single sample t

C. independent measures t

D. repeated/related measures t

E. independent measures ANOVA

3. Speculating that early exposure to more number words might predispose children to like mathematics,

researchers wondered if mothers used more, on average, number words with their preschool sons than with

their preschool daughters. Each participating family included one mother and one child – either female or

male. They recruited 60 families, 30 with a son and 30 with a daughter. They counted the how many

number utterances the mother made toward her child. After conducting their research, which is the correct

statistic they should use?

A. z for a sample mean

B. single sample t

C. independent measures t

D. repeated/related measures t

E. one-way ANOVA

Scenario 1 - Use for problems 4-8

A clinical psychologist wants to determine if anxiety scores are lower after 10 group therapy sessions than before

the sessions. He has a group of 10 clients with anxiety take a standardized test that measures their anxiety before the

10 group sessions and then again after the 10 group sessions. The data are below. To get credit for the following

problems, use StatCrunch and attach (or hand copy) the tables to the worksheet. Compute the D as Before–

After. Use ? =. ??.

Before Sessions After Sessions

15 10

13 12

12 12

9 8

15 14

11 10

14 13

10 9

9 9

11 11

4. Which of the following are correct regarding the null and research hypotheses?

A. Ho: Group therapy sessions will reduce anxiety scores; H1: Group therapy will not reduce anxiety

scores

B. H0: Group therapy sessions will not change anxiety scores; H1: Group therapy will change anxiety

scores

C. H0: Group therapy sessions will not reduce anxiety scores; H1: Group therapy will reduce anxiety

scores

D. H0: Group therapy will not increase anxiety scores: H1: Group therapy will increase anxiety scores

5. What is the tobtained for this study?

A. 1.84

B. 12.54

C. 2.40

D. .76

6. Compute the effect size. Show your work.

A. .33

B. .58

C. .25

D. .76

7. The researcher in this study should

A. Reject the null hypothesis

B. Fail to reject the null hypothesis

8. Which of the following statements is the best summary of the results?

A. Group therapy does not seem to lower anxiety scores.

B. Group therapy does seem to lower anxiety scores.

C. The difference between anxiety scores before and after the group therapy is probably created by

sampling error.

D. There was a significant difference between anxiety scores before and after group therapy sessions.

9. A teacher wants to estimate the amount of attitude change that would occur in a population of high school

students if they watched a video on global warming. A higher score indicates a greater acceptance that

human actions are at least partially responsible for long term raising temperatures. She measured the

attitudes of 36 students, showed them the video and then measured their attitudes again. Use the data below

to create a 95% confidence interval for the mean change in students’ attitudes. Show your work. Compute

D as After - Before.

Mean attitude before watching the video: Mbefore = 141;

Mean attitude after watching the video: Mafter = 152;

SD of mean attitude change (SDD) = 5.5

A. LB = 5.5, UB =16.5

B. LB = 9.45, UB = 12.55

C. LB = 10.08, UB = 11.92

D. LB = 9.14, UB = 12.86

10. A teacher wants to estimate the amount of attitude change that would occur in a population of high school

students if they watched a video on global warming. A higher score indicates a greater acceptance that

human actions are at least partially responsible for long term raising temperatures. She measured the

attitudes of 36 students, showed them the video and then measured their attitudes again. Use the data below

to create a 95% confidence interval for the mean change in students’ attitudes.

Mean attitude before watching the video: Mbefore = 141;

Mean attitude after watching the video: Mafter = 152;

SD of mean attitude change (SDD) = 5.5

Which of the following is a correct interpretation of this confidence interval?

A. The mean change in the population is likely to be between the upper and lower bounds.

B. The mean change in the sample is likely to be between the upper and lower bounds.

C. If the study were repeated 100 times, the mean change would be between the upper and lower bounds

95 times.

D. The mean attitude after watching the video is likely to be lower than the lower bound and the mean

attitude after watching the video is likely to be higher than the upper bound.

11. An appropriate example of a repeated measures design would be

A. comparing individual attitudes about drinking before and after viewing a film on the topic.

B. ascertaining the relationship between personality and achievement in school

C. ascertaining whether a given sample is a good representative of a given population.

D. comparing how men and women differ on memory tasks.

Scenario 2 - Use for problems 12-18

A student completing a senior project decides to investigate stress levels among college students. Specifically, she

wants to know if freshmen or seniors experience more stress. To assess stress levels she asks 12 freshmen and 12

seniors to complete a survey designed to measure stress levels. Scores on the stress survey are normally distributed

and measured on an interval scale where higher numbers indicate greater levels of stress. The data are as follows:

Freshmen: 20, 43, 56, 76, 45, 87, 12, 34, 65, 58, 42, 100

Seniors: 90, 30, 80, 60, 64, 37, 84, 27, 87, 54, 38, 92

To get credit for the following problems, use StatCrunch and attach (or hand copy) the tables to the

worksheet.

12. Respectively, what are your Independent Variable (IV), Conditions (C) and Dependent Variable (DV)?

A. IV – Freshman, C – Seniors, DV- Stress score.

B. IV – Stress score, C – Freshman & Seniors, DV – Class Grade

C. IV – Senors, C – Freshman, DV – Stress score

D. IV – Class Grade, C – Freshman & Seniors, DV – Stress score

13. Select the appropriate research hypothesis for this statistical analysis.

A. µ1≠ µ2

B. µ1 = µ2

C. µ1 ≤ µ2

D. µ1 ≥ µ2

E. µ1 < µ2

14. If the researcher had computed the statistical analysis by hand, what would be the correct critical region

(? = .05)

A. reject H0 if t > 2.0739

B. reject H0 if t < −1.7171

C. reject H0 if t > XXXXXXXXXXor t < −2.0739

D. reject H0 if t > XXXXXXXXXXor t < −1.7171

15. What is your tobtained?

A. −0.85

B. 10.35

C. 7.53

D. 2.01

E. −0.35

16. Which of the following is the best summary of the results?

A. College seniors exhibited higher stress levels (M = 61.92, SD = XXXXXXXXXXthan did college freshman (M =

53.17, SD = 26.09), t(22) = .-.846, p =.204, d = .35.

B. College freshman (M = 53.17, SD = 26.09), exhibit higher stress levels than college seniors (M =

61.92, SD = 24.57), t(22) = -.846, p =.204, d = .35.

C. College seniors exhibited higher stress levels (M = 61.92, SD = XXXXXXXXXXthan did college freshman (M =

53.17, SD = 26.09), t(22) = .-.846, p =.407, d = .35.

D. There were no significant differences in stress levels of college seniors (M = 61.92, SD = XXXXXXXXXXand

college freshman (M = 53.17, SD = 26.09), t(22) = .-.846, p =.407, d = .35.

17. Which of the following error might have the student research made?

A. Power

B. Type I error

C. Type II error

D. Correctly failing to reject the null

18. For the above scenario, use StatCrunch to compute the 95% Confidence Interval for mean difference.

Attach your StatCrunch table to your worksheet. What are the lower and upper boundaries for the mean

difference score?

A. 36.59, 69.74

B XXXXXXXXXX, 12.70

C. 61.92, 77.53

D. 53.17, 61.92

19. A clinical psychologist was interested if biofeedback training could be used to decrease stress in her clients.

She recruited 20 clients and measured their stress before 10 biofeedback sessions and then again after the

10 biofeedback sessions. What statistical procedure should she use to compute how much each person’s

stress level changed as a result of the biofeedback training?

A. Significance testing

B. Effect size

C. Confidence interval

D. Hypothesis testing

20. The researcher then computed the upper and lower boundaries of the mean difference score. The lower

boundary of the mean difference score was 1.47 and the upper boundary was of the mean difference score

was 5.81. Based on these results, should the null hypothesis be rejected or not. Use a two-tailed test with

an alpha of .05.

A. Reject the null hypothesis

B. Fail to reject the null hypothesis

C. There is not enough information to make that determination

Scenario 3 - Use for problems XXXXXXXXXX

A professor notes that many of her students take notes on their laptops, while others take notes using paper. She

wonders if using a laptop is as effective as handwriting notes because typing allows students to take notes much

faster. Although this increased speed does allow for more information to be written, it also does not require as much

processing of the information. While taking notes by hand, students must process the information and decide what is

important. To test this possibility, the professor obtains a group of 90 students and randomly assigns each student to

use a different note taking strategy while listening to an hour long lecture. The groups were:

Group 1: Handwritten notes

Group 2: Take notes on a laptop

Group 3: Take notes on a laptop, but instruct students that they should not record the lecture in as much detail as

possible. Instead, they should try to write the main points.

The day after the lecture, the students took a multiple-choice exam over the content of the lecture.

The professor reports the following results: A one-way ANOVA revealed a significant effect of notetaking

method on exam scores, F(2, 87) = 6.73, p = .002, MSE = 126.05. , ?!" = .13.

21. What is your null hypothesis?

A. There will be a least two groups where there is no difference

B. There will be no differences among all of the groups.

C. There will be at least one mean difference between the group means

D. The effect size will be small

22. Based on your results, what are your respective SSbetween, SStotal and MSbetween? Show your work.

A. 10,966.35, XXXXXXXXXX, 126.05

B XXXXXXXXXX, 13,334.87, 126.05

C XXXXXXXXXX, XXXXXXXXXX, 848.32

D XXXXXXXXXX, XXXXXXXXXX, 848.32

23. Based upon the results, does the professor need to complete a post hoc test?

A. No, the overall ANOVA was significant but there are only two groups.

B. No, the effect size for the overall ANOVA was large which means that all pairwise comparisons will

be significant.

C. Yes, the effect size for the overall ANOVA was large which means that the ANOVA was significant

and you always need to do post hocs after a significant ANOVA.

D. Yes, the overall ANOVA was significant and there are more than two groups.

Scenario 4 - Use for problems 24-27

Sleep Deprivation & Mood

A sleep deprivation researcher randomly assigned 18 participants to one of three conditions: 12 hours without sleep,

24 hours without sleep, or 36 hours without sleep. Following the manipulation, participants completed a measure of

negative mood (higher scores indicate a worse mood). Mood scores for each group are listed below. Using the .05

level, was there a significant difference in negative mood depending on length of sleep deprivation? The data is as

follows:

XXXXXXXXXXhour XXXXXXXXXXhour XXXXXXXXXXhour

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

To receive credit for the following problems, you must compute these results using StatCrunch and

attach (or copy) the table to your worksheet. INCLUDE SUMMARY TABLE, ANOVA TABLE AND

TUKEY HSD COMPARISON TABLES.

24. What is your research hypothesis?

A. There will a significant difference between the means of the 12-hour, 24-hour and 36-hour groups

B. There will be a significant difference between the means of the 12-hour and 36-hour groups, but not

between the 24-hour and 36-hour groups.

C. There will be at least one significant difference between the means of the 12-hour, 24-hour and 36-

hour groups.

D. There will not be a significant difference between the means of the 12-hour, 24-hour and 36-hour

groups.

25. Which of the following statements is the best summary of the results of the overall ANOVA?

A. A one-way ANOVA revealed a nonsignificant effect of sleep deprivation on mood scores, F(2, 15) =

21.5, p > .05, MSE = 7.00.

B. A one-way ANOVA revealed a significant effect of sleep deprivation on mood scores, F(2, 15) = 21.5,

p < .001, MSE = 7.00.

C. A one-way ANOVA revealed a significant effect of sleep deprivation on mood scores, F(2, 17) = 21.5,

p < .001, MSE = 7.00.

D. A one-way ANOVA revealed a nonsignificant effect of sleep deprivation on mood scores F(2, 17) =

21.5, p > .05, MSE = 7.00.

26. Compute ?!". What is your partial eta squared score? Show your work.

A. .74

B. .51

C. .27

D. .19

27. The following is the Multiple Comparisons table for the above scenario. Which comparisons are

significant?

A. The 12-hour vs 24 hour and 12-hour vs 36-hour groups are significantly different, but not the 24-hour

vs 36-hour groups.

B. The 12-hour vs. 36-hour group is significantly different, but the 12-hour vs 24-hour and 24-hour vs 36-

hour groups are not significantly different.

C. All comparison means (12-hour vs 24-hour, 12-hour vs 36-hour and 24-hour vs 36-hour) are

significantly different from one another.

D. There are no significant differences among the comparison groups.

28. Which study will produce the larger F-value?

Study 1 Study 2

Group 1: Kool

Aid

Group 2:

Orange Juice

Group 3: Water Group 1:

Kool Aid

Group 2: Orange

Juice

Group 3:

Water

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

M1 = 19 M2 = 58.67 M3 = 81.67 M1 = 53 M2 =53.33 M3 =52.67

SD1 = 1.63 SD2 = 2.52 SD3 = 1.53 SD1 = 31.61 SD2 = 31.88 SD3 = 32.72

A. Study 1

B. Study 2

C. The studies will produce values that are about the same.

D. It is not possible to determine which F-value will be larger with the provided information. You need to

know the degrees of freedom.

PSYCHOLOGY 5

MIDTERM EXAM #3

RAY GRIMM, Ph.D.

Name: ________________________________________

Multiple Choice. Mark your answers on Midterm 3 in Quizzes in Canvas. When indicated, either show your work

or attach (or hand copy) StatCrunch tables to this worksheet. If you do not show your work or attach the required

tables, you will not receive credit for the problem even if you marked the answer correctly on Quiz – Midterm 3..

1. A cognitive psychologist studied memory for manes after a group activity that lasted 20 minutes.

Participants were not told that this was study of memory. After the group activity, participants were asked

to name the other group members. The researcher randomly assigned 120 participants to one of three

conditions: (1) group members introduce themselves once (one introduction only) (2) group members were

introduced by the experimenter and by themselves (two introductions), and (3) group members were

introduced by the experimenter and themselves and also wore name tags throughout the group activity (two

introductions and name tags. What is the correct statistic for this study?

A. z for a sample mean

B. single sample t

C. independent measures t

D. repeated/related measures t

E. independent measures ANOVA

2. Psychologist Anna Fisher and her colleagues conducted a study in which they researched whether

kindergarten students learned better in decorated classrooms or undecorated classrooms, referred to as

“sparse classrooms”. They wondered whether students would be less distracted and learn better without

decorations such as posters, maps, and children’s artwork. The same group of children had science lessons

in a classroom without decorations and in a classroom with decorations. The students took a test on the

material after each condition. Each child received a percentage-correct score,, out of 100%, for each

condition. Which is the correct statistic for their study?

A. z for a sample mean

B. single sample t

C. independent measures t

D. repeated/related measures t

E. independent measures ANOVA

3. Speculating that early exposure to more number words might predispose children to like mathematics,

researchers wondered if mothers used more, on average, number words with their preschool sons than with

their preschool daughters. Each participating family included one mother and one child – either female or

male. They recruited 60 families, 30 with a son and 30 with a daughter. They counted the how many

number utterances the mother made toward her child. After conducting their research, which is the correct

statistic they should use?

A. z for a sample mean

B. single sample t

C. independent measures t

D. repeated/related measures t

E. one-way ANOVA

Scenario 1 - Use for problems 4-8

A clinical psychologist wants to determine if anxiety scores are lower after 10 group therapy sessions than before

the sessions. He has a group of 10 clients with anxiety take a standardized test that measures their anxiety before the

10 group sessions and then again after the 10 group sessions. The data are below. To get credit for the following

problems, use StatCrunch and attach (or hand copy) the tables to the worksheet. Compute the D as Before–

After. Use ? =. ??.

Before Sessions After Sessions

15 10

13 12

12 12

9 8

15 14

11 10

14 13

10 9

9 9

11 11

4. Which of the following are correct regarding the null and research hypotheses?

A. Ho: Group therapy sessions will reduce anxiety scores; H1: Group therapy will not reduce anxiety

scores

B. H0: Group therapy sessions will not change anxiety scores; H1: Group therapy will change anxiety

scores

C. H0: Group therapy sessions will not reduce anxiety scores; H1: Group therapy will reduce anxiety

scores

D. H0: Group therapy will not increase anxiety scores: H1: Group therapy will increase anxiety scores

5. What is the tobtained for this study?

A. 1.84

B. 12.54

C. 2.40

D. .76

6. Compute the effect size. Show your work.

A. .33

B. .58

C. .25

D. .76

7. The researcher in this study should

A. Reject the null hypothesis

B. Fail to reject the null hypothesis

8. Which of the following statements is the best summary of the results?

A. Group therapy does not seem to lower anxiety scores.

B. Group therapy does seem to lower anxiety scores.

C. The difference between anxiety scores before and after the group therapy is probably created by

sampling error.

D. There was a significant difference between anxiety scores before and after group therapy sessions.

9. A teacher wants to estimate the amount of attitude change that would occur in a population of high school

students if they watched a video on global warming. A higher score indicates a greater acceptance that

human actions are at least partially responsible for long term raising temperatures. She measured the

attitudes of 36 students, showed them the video and then measured their attitudes again. Use the data below

to create a 95% confidence interval for the mean change in students’ attitudes. Show your work. Compute

D as After - Before.

Mean attitude before watching the video: Mbefore = 141;

Mean attitude after watching the video: Mafter = 152;

SD of mean attitude change (SDD) = 5.5

A. LB = 5.5, UB =16.5

B. LB = 9.45, UB = 12.55

C. LB = 10.08, UB = 11.92

D. LB = 9.14, UB = 12.86

10. A teacher wants to estimate the amount of attitude change that would occur in a population of high school

students if they watched a video on global warming. A higher score indicates a greater acceptance that

human actions are at least partially responsible for long term raising temperatures. She measured the

attitudes of 36 students, showed them the video and then measured their attitudes again. Use the data below

to create a 95% confidence interval for the mean change in students’ attitudes.

Mean attitude before watching the video: Mbefore = 141;

Mean attitude after watching the video: Mafter = 152;

SD of mean attitude change (SDD) = 5.5

Which of the following is a correct interpretation of this confidence interval?

A. The mean change in the population is likely to be between the upper and lower bounds.

B. The mean change in the sample is likely to be between the upper and lower bounds.

C. If the study were repeated 100 times, the mean change would be between the upper and lower bounds

95 times.

D. The mean attitude after watching the video is likely to be lower than the lower bound and the mean

attitude after watching the video is likely to be higher than the upper bound.

11. An appropriate example of a repeated measures design would be

A. comparing individual attitudes about drinking before and after viewing a film on the topic.

B. ascertaining the relationship between personality and achievement in school

C. ascertaining whether a given sample is a good representative of a given population.

D. comparing how men and women differ on memory tasks.

Scenario 2 - Use for problems 12-18

A student completing a senior project decides to investigate stress levels among college students. Specifically, she

wants to know if freshmen or seniors experience more stress. To assess stress levels she asks 12 freshmen and 12

seniors to complete a survey designed to measure stress levels. Scores on the stress survey are normally distributed

and measured on an interval scale where higher numbers indicate greater levels of stress. The data are as follows:

Freshmen: 20, 43, 56, 76, 45, 87, 12, 34, 65, 58, 42, 100

Seniors: 90, 30, 80, 60, 64, 37, 84, 27, 87, 54, 38, 92

To get credit for the following problems, use StatCrunch and attach (or hand copy) the tables to the

worksheet.

12. Respectively, what are your Independent Variable (IV), Conditions (C) and Dependent Variable (DV)?

A. IV – Freshman, C – Seniors, DV- Stress score.

B. IV – Stress score, C – Freshman & Seniors, DV – Class Grade

C. IV – Senors, C – Freshman, DV – Stress score

D. IV – Class Grade, C – Freshman & Seniors, DV – Stress score

13. Select the appropriate research hypothesis for this statistical analysis.

A. µ1≠ µ2

B. µ1 = µ2

C. µ1 ≤ µ2

D. µ1 ≥ µ2

E. µ1 < µ2

14. If the researcher had computed the statistical analysis by hand, what would be the correct critical region

(? = .05)

A. reject H0 if t > 2.0739

B. reject H0 if t < −1.7171

C. reject H0 if t > XXXXXXXXXXor t < −2.0739

D. reject H0 if t > XXXXXXXXXXor t < −1.7171

15. What is your tobtained?

A. −0.85

B. 10.35

C. 7.53

D. 2.01

E. −0.35

16. Which of the following is the best summary of the results?

A. College seniors exhibited higher stress levels (M = 61.92, SD = XXXXXXXXXXthan did college freshman (M =

53.17, SD = 26.09), t(22) = .-.846, p =.204, d = .35.

B. College freshman (M = 53.17, SD = 26.09), exhibit higher stress levels than college seniors (M =

61.92, SD = 24.57), t(22) = -.846, p =.204, d = .35.

C. College seniors exhibited higher stress levels (M = 61.92, SD = XXXXXXXXXXthan did college freshman (M =

53.17, SD = 26.09), t(22) = .-.846, p =.407, d = .35.

D. There were no significant differences in stress levels of college seniors (M = 61.92, SD = XXXXXXXXXXand

college freshman (M = 53.17, SD = 26.09), t(22) = .-.846, p =.407, d = .35.

17. Which of the following error might have the student research made?

A. Power

B. Type I error

C. Type II error

D. Correctly failing to reject the null

18. For the above scenario, use StatCrunch to compute the 95% Confidence Interval for mean difference.

Attach your StatCrunch table to your worksheet. What are the lower and upper boundaries for the mean

difference score?

A. 36.59, 69.74

B XXXXXXXXXX, 12.70

C. 61.92, 77.53

D. 53.17, 61.92

19. A clinical psychologist was interested if biofeedback training could be used to decrease stress in her clients.

She recruited 20 clients and measured their stress before 10 biofeedback sessions and then again after the

10 biofeedback sessions. What statistical procedure should she use to compute how much each person’s

stress level changed as a result of the biofeedback training?

A. Significance testing

B. Effect size

C. Confidence interval

D. Hypothesis testing

20. The researcher then computed the upper and lower boundaries of the mean difference score. The lower

boundary of the mean difference score was 1.47 and the upper boundary was of the mean difference score

was 5.81. Based on these results, should the null hypothesis be rejected or not. Use a two-tailed test with

an alpha of .05.

A. Reject the null hypothesis

B. Fail to reject the null hypothesis

C. There is not enough information to make that determination

Scenario 3 - Use for problems XXXXXXXXXX

A professor notes that many of her students take notes on their laptops, while others take notes using paper. She

wonders if using a laptop is as effective as handwriting notes because typing allows students to take notes much

faster. Although this increased speed does allow for more information to be written, it also does not require as much

processing of the information. While taking notes by hand, students must process the information and decide what is

important. To test this possibility, the professor obtains a group of 90 students and randomly assigns each student to

use a different note taking strategy while listening to an hour long lecture. The groups were:

Group 1: Handwritten notes

Group 2: Take notes on a laptop

Group 3: Take notes on a laptop, but instruct students that they should not record the lecture in as much detail as

possible. Instead, they should try to write the main points.

The day after the lecture, the students took a multiple-choice exam over the content of the lecture.

The professor reports the following results: A one-way ANOVA revealed a significant effect of notetaking

method on exam scores, F(2, 87) = 6.73, p = .002, MSE = 126.05. , ?!" = .13.

21. What is your null hypothesis?

A. There will be a least two groups where there is no difference

B. There will be no differences among all of the groups.

C. There will be at least one mean difference between the group means

D. The effect size will be small

22. Based on your results, what are your respective SSbetween, SStotal and MSbetween? Show your work.

A. 10,966.35, XXXXXXXXXX, 126.05

B XXXXXXXXXX, 13,334.87, 126.05

C XXXXXXXXXX, XXXXXXXXXX, 848.32

D XXXXXXXXXX, XXXXXXXXXX, 848.32

23. Based upon the results, does the professor need to complete a post hoc test?

A. No, the overall ANOVA was significant but there are only two groups.

B. No, the effect size for the overall ANOVA was large which means that all pairwise comparisons will

be significant.

C. Yes, the effect size for the overall ANOVA was large which means that the ANOVA was significant

and you always need to do post hocs after a significant ANOVA.

D. Yes, the overall ANOVA was significant and there are more than two groups.

Scenario 4 - Use for problems 24-27

Sleep Deprivation & Mood

A sleep deprivation researcher randomly assigned 18 participants to one of three conditions: 12 hours without sleep,

24 hours without sleep, or 36 hours without sleep. Following the manipulation, participants completed a measure of

negative mood (higher scores indicate a worse mood). Mood scores for each group are listed below. Using the .05

level, was there a significant difference in negative mood depending on length of sleep deprivation? The data is as

follows:

XXXXXXXXXXhour XXXXXXXXXXhour XXXXXXXXXXhour

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

To receive credit for the following problems, you must compute these results using StatCrunch and

attach (or copy) the table to your worksheet. INCLUDE SUMMARY TABLE, ANOVA TABLE AND

TUKEY HSD COMPARISON TABLES.

24. What is your research hypothesis?

A. There will a significant difference between the means of the 12-hour, 24-hour and 36-hour groups

B. There will be a significant difference between the means of the 12-hour and 36-hour groups, but not

between the 24-hour and 36-hour groups.

C. There will be at least one significant difference between the means of the 12-hour, 24-hour and 36-

hour groups.

D. There will not be a significant difference between the means of the 12-hour, 24-hour and 36-hour

groups.

25. Which of the following statements is the best summary of the results of the overall ANOVA?

A. A one-way ANOVA revealed a nonsignificant effect of sleep deprivation on mood scores, F(2, 15) =

21.5, p > .05, MSE = 7.00.

B. A one-way ANOVA revealed a significant effect of sleep deprivation on mood scores, F(2, 15) = 21.5,

p < .001, MSE = 7.00.

C. A one-way ANOVA revealed a significant effect of sleep deprivation on mood scores, F(2, 17) = 21.5,

p < .001, MSE = 7.00.

D. A one-way ANOVA revealed a nonsignificant effect of sleep deprivation on mood scores F(2, 17) =

21.5, p > .05, MSE = 7.00.

26. Compute ?!". What is your partial eta squared score? Show your work.

A. .74

B. .51

C. .27

D. .19

27. The following is the Multiple Comparisons table for the above scenario. Which comparisons are

significant?

A. The 12-hour vs 24 hour and 12-hour vs 36-hour groups are significantly different, but not the 24-hour

vs 36-hour groups.

B. The 12-hour vs. 36-hour group is significantly different, but the 12-hour vs 24-hour and 24-hour vs 36-

hour groups are not significantly different.

C. All comparison means (12-hour vs 24-hour, 12-hour vs 36-hour and 24-hour vs 36-hour) are

significantly different from one another.

D. There are no significant differences among the comparison groups.

28. Which study will produce the larger F-value?

Study 1 Study 2

Group 1: Kool

Aid

Group 2:

Orange Juice

Group 3: Water Group 1:

Kool Aid

Group 2: Orange

Juice

Group 3:

Water

XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX

M1 = 19 M2 = 58.67 M3 = 81.67 M1 = 53 M2 =53.33 M3 =52.67

SD1 = 1.63 SD2 = 2.52 SD3 = 1.53 SD1 = 31.61 SD2 = 31.88 SD3 = 32.72

A. Study 1

B. Study 2

C. The studies will produce values that are about the same.

D. It is not possible to determine which F-value will be larger with the provided information. You need to

know the degrees of freedom.

Answered 1 days AfterMay 07, 2021

Multiple:

1) E

2) D. repeated/related measures t

3) C. independent measures t

4) C. H0: Group therapy sessions will not reduce anxiety scores; H1: Group...

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