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

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

 

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?

 

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

 

 

the population raw scores are normally distributed

 

the sampling distribution of  is normally is normally distributed

 

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

 

 

 

 

5. Exhibit 14-1

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. The obtained value of the appropriate statistic is ____.

 

 

 

 

6. Exhibit 14-1

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. The df for determining t_crit are ____.

 

 

 

 

6. Exhibit 14-1

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= .05_{2 tail}, t_crit= ____.

 

 

 

 

7. Exhibit 14-1

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= .05_{2 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

 

8. Exhibit 14-1

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. Estimate the size of the effect.= ____

 

 

 

 

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

 

t test for independent groups

 

 

 

10. 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

 

11. 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

 

12. s_B²is a measure of ____.

 

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

 

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

 

 

 

 

14. Exhibit 15-3

Pertain to the following data.

Group 1- 4, 9, 10

Group 2- 11, 11, 10

Group 3- 1, 6, 4

Refer to Exhibit 15-3. What is the value of F_obt?

 

 

 

15. Exhibit 15-3

Pertain to the following data.

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

Refer to Exhibit 15-3. What is the value of F_crit? Use a= 0.05.

 

 

 

16. Exhibit 15-3
Pertain to the following data.

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

Refer to Exhibit 15-3. What is your conclusion? Again use a = 0.05

 

 

 

 

17. Exhibit 15-3

Pertain to the following data.

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

Refer to Exhibit 15-3. Using, the estimated size of effect is ____.

 

 

 

18. 

Exhibit 15-3

Pertain to the following data.

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

Refer to Exhibit 15-3. Using ², what is the estimated size of effect?

 

 

 

19. What is the value of SS_T if SS_B = 236 and SS_W = 54?

 

 

 

 

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

 

 

 

all of the other three options

 

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

cannot be determined from information given

 

 

 

 

22. If SS_W= 126,N= 28,k= 4, then what is the value of s_W²

cannot be determined from information given

 

 

 

 

23. If df_B= 3 and df_T= 29 and F_obt= 3.15, what would you conclude using a= 0.05?

 

 

 

 

24. Ifs_B²= 27.9 ands_W²= 54.2, what is the value ofF_obt?

impossible result, there must be an error

 

 

 

 

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 ____.

 

 

is a theoretical distribution

 

all of the other three options

 

27. The computation of f_e____.

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= 0.05_{2 tailed}, the value of T_crit is ____.

 

 

 

 

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

 

 

 

 

30. Exhibit 17-1

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 17-1. The value of c ²_obt= ____.

 

 

 

 

31. Exhibit 17-1

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 17-1. The value of df = ____.

 

 

 

 

32. Exhibit 17-1

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 17-1. Using a= 0.05,c ²_crit= ____.

 

 

 

 

33.  Exhibit 17-1

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 17-1. 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, 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   ____.

 

 

 

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