# 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

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 H |

retain H |

retain H |

reject H |

8. Exhibit 14-1

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_{B}^{2}is a measure of ____.

s |

the variability between the means |

s |

13. The total degrees of freedom for an experiment with n_{1}= 10,n_{2}= 12, and n_{3}= 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 n_{1}=n_{2}=n_{3}, 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_{W}^{2}

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_{B}^{2}= 27.9 ands_{W}^{2}= 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 F |

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

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 H |

reject H |

retain H |

retain H |

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 |