1. The power of the t test increases with ____.

• increases in N
• increases in the effect of the independent variable
• decreases in the sample variance(s)
• all of the other three options

2. Having just made what you feel is to be a Type II error, using an independent groups design and a t test analysis, which of the following might you do in the next experiment to reduce the probability of a Type II error?

• increase N
• change to a correlated groups design
• try to reduce the variance by better experimental control
• all of the other three options

3. The t test for correlated groups requires that ____.

• the sampling distribution of is normally distributed
• N ³ 30
• the population raw scores are normally distributed
• the sampling distribution of is normally is normally distributed

4. In the t test for independent groups, ____.

• we estimate µ1- µ2
• we estimate s2
• we estimate
• df = N - 1

5. Exhibit: A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.

High stress 20 23 18 19 22
Relatively stress free 26 31 25 26 30

Refer to Exhibit. The obtained value of the appropriate statistic is ____.

• tobt = -4.73
• tobt = -4.71
• tobt = -3.05
• tobt = -0.47

6. Exhibit: A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.

High stress 20 23 18 19 22
Relatively stress free 26 31 25 26 30
Refer to Exhibit. The df for determining tcrit are ____.

• 4
• 9
• 8
• 3

7. Exhibit : A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.

High stress 20 23 18 19 22
Relatively stress free 26 31 25 26 30
Refer to Exhibit 14-1. Using a= .052 tail, tcrit= ____.

• +2.162
• +2.506
• ±2.462
• ±2.306

8. Exhibit: A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.

High stress 20 23 18 19 22
Relatively stress free 26 31 25 26 30
Refer to Exhibit. Using a= .052 tail, your conclusion is ____.

• accept H0; stress does not affect the menstrual cycle
• retain H0; we cannot conclude that stress affects the menstrual cycle
• retain H0; stress affects the menstrual cycle
• reject H0; stress affects the menstrual cycle

9. Exhibit: A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.

High stress 20 23 18 19 22
Relatively stress free 26 31 25 26 30
Refer to Exhibit. Estimate the size of the effect.= ____

• 0.8102
• 0.6810
• 0.4322
• 0.5776

10. Which of the following tests analyzes the difference between the means of two independent samples?

• correlated t test
• t test for independent groups
• sign test
• test of variance

11. Which of the following is (are) assumption(s) underlying the use of the F test?

• the raw score populations are normally distributed
• the variances of the raw score populations are the same
• the mean of the populations differ
• the raw score populations are normally distributed and the variances of the raw score populations are the same

12. If its assumptions are met, the analysis of variance technique is appropriate when ____.

• two or more factors are varied
• several levels of a single independent variable are compared
• three or more groups are involved
• all of the other three options

13. sB2is a measure of ____.

• s 2 alone
• s 2 + the effects of the independent variable
• the variability between the means
• s 2 + the effects of the independent variable and the variability between the means

14. The total degrees of freedom for an experiment with n1= 10,n2= 12, and n3= 10 is ____.

• 2
• 32
• 31
• 29

15. Exhibit: Pertain to the following data.

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4
Refer to Exhibit. What is the value of Fobt?

• 5.67
• 6.53
• 1.95
• 3.26

16. Exhibit: Pertain to the following data.

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4

Refer to Exhibit. What is the value of Fcrit? Use a= 0.05.

• 5.14
• 4.76
• 4.46
• 4.07

17. Exhibit: Pertain to the following data.

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4
Refer to Exhibit. What is your conclusion? Again use a = 0.05

• retain H0
• reject H1
• reject H0
• accept H0

18. Exhibit: Pertain to the following data.

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4

Refer to Exhibit. Using, the estimated size of effect is ____.

• 22.6% of the variability
• 52.8% of the variability
• 43.6% of the variability
• 55.1% of the variability

19. Exhibit: Pertain to the following data.

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4

Refer to Exhibit. Using 2, what is the estimated size of effect?

• 0.7232
• 0.6852
• 0.6582
• 0.6312

20. What is the value of SST if SSB = 236 and SSW = 54?

• 290
• 182
• 4.37
• 100

21. By doing multiple t tests when there are more than 2 experimental groups we increase the risk of making what kind of mistake?

• accepting H0
• Type I error
• Type II error
• all of the other three options

22. If X1=46, X2= 50, X3= 92 and n1=n2=n3, what is the value of Xg?

• cannot be determined from information given
• 50.0
• 188.0
• 62.67

23. If SSW= 126,N= 28,k= 4, then what is the value of sW2

• cannot be determined from information given
• 5.25
• 42.0
• 4.667

23. If dfB= 3 and dfT= 29 and Fobt= 3.15, what would you conclude using a= 0.05?

• reject H0
• reject H1
• retain H0
• retain H1

24. IfsB2= 27.9 andsW2= 54.2, what is the value ofFobt?

• impossible result, there must be an error
• 1.94
• 0.51
• 2.76

25. A priori comparisons ____.

• are planned in advance of the experiment
• often arise out of theory and prior research
• may be done without obtaining a significant Fobt in the one-way ANOVA
• all of the other three options

26. The sampling distribution of chi-square is ____.

• skewed
• varies with df
• is a theoretical distribution
• all of the other three options

27. The computation of fe____.

• is based on population proportion estimates
• is based on known population proportions
• is based on population means
• none of the other three options

28. If N= 18 and a= 0.052 tailed, the value of Tcrit is ____.

• 40
• ±39
• -41
• 47

29. If a= 0.05, and df = 4, the value of c 2crit= ____.

• 9.488
• 0.711
• 7.815
• 11.070

30. Exhibit: Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.

Republican Female: 82 Democrat Female: 118 -- 200
Republican Male: 68 Democrat Male: 132 -- 200
--150 --250 --400

Refer to Exhibit. The value of c 2obt= ____.

• 2.06
• 2.09
• 1.80
• 1.75

31. Exhibit: Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.

Republican Female: 82 Democrat Female: 118 -- 200
Republican Male: 68 Democrat Male: 132 -- 200
--150 --250 --400
Refer to Exhibit . The value of df = ____.

• 2
• 1
• 3
• need more information

32. Exhibit: Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.

Republican Female: 82 Democrat Female: 118 -- 200
Republican Male: 68 Democrat Male: 132 -- 200
--150 --250 --400
Refer to Exhibit. Using a= 0.05,c 2crit= ____.

• 3.841
• 5.412
• 2.706
• -3.841

33. Exhibit: Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.

Republican Female: 82 Democrat Female: 118 -- 200
Republican Male: 68 Democrat Male: 132 -- 200
--150 --250 --400
Refer to Exhibit. Using a= 0.05, what is your conclusion?

• accept H0; there is no relationship between sex and candidate preference
• reject H0; there is a significant relationship between sex and candidate preference
• retain H0; the study does not show a significant relationship between sex and candidate preference
• retain H0; this study shows a significant relationship between sex and candidate preference

34. As the separation between the two groups of scores increases, Uobt ____.

• increases
• decreases
• stays the same
• approaches U¢obt

35. The statistics (U or U') used in the Mann-Whitney U test, measure ____.

• the differences between the means of the two groups
• the direction of the differences between pairs of scores
• the power of the experiment
• the separation between the two groups

36. Using SPSS, the appropriate steps to analyze data for student's t test for correlated groups are _________

• Compare Means > Paired Sample t test > Before_C > After_C
• Analyze > Compare Means > Paired Sample t test > After_C > Before_C
• Analyze > Compare Means > Paired Sample t test > Before_C > After_C
• Analyze > Compare Means > Before_C > After_C

37. In SPSS, the results of analysing data for student's t test are displayed ____.

• in a graph
• in a number of tables
• as a stem and leaf
• in a histogram

38. In SPSS, the appropriate steps to analyze data for a one-way ANOVA are ____.

• you cannot perform ANOVA in SPSS
• One-Way ANOVA >Analyze > Compare Means
• Compare Means > One-Way ANOVA
• Analyze > Compare Means > One-Way ANOVA

39. In SPSS, when you follow the steps to perform one-way ANOVA, ____.

• you will not be given the option to compute "descriptive statistics"
• you will be given the option to compute "descriptive statistics"
• you will be given the option to compute "descriptive statistics", but you have to open a new file
• you will be given the option to compute "descriptive statistics", but you have to restart SPSS