Question 1

The denominator of an independent-samples t test is a standard error of a difference.

Accepted Answer

A) True 
 B)False

Question 2

Which of these phrases doesn't belong with the other three?

Accepted Answer

A)  extraneous variable 
B)  independent variable 
C)  treatment 
D)  experimental group. 
A)  extraneous variable 
B)  independent variable 
C)  treatment 
D)  experimental group.

Question 3

Suppose you calculated a 95 percent confidence interval about the difference between two paired means. The resulting confidence interval was -2.10 to 2.10. Knowing this, you can

Accepted Answer

A)  reject the null hypothesis at the .05 level 
B)  reject the null hypothesis at the .01 level 
C)  retain the null hypothesis 
D)  additional information is needed. 
A)  reject the null hypothesis at the .05 level 
B)  reject the null hypothesis at the .01 level 
C)  retain the null hypothesis 
D)  additional information is needed.

Question 4

"The difference between the two_________means is zero"is a statement of the null hypothesis.

Accepted Answer

A)  sample 
B)  population 
C)  sample or population 
D)  none of the descriptive alternatives are correct. 
A)  sample 
B)  population 
C)  sample or population 
D)  none of the descriptive alternatives are correct.

Question 5

Type A people ( $\bar { X }$ = 20) were compared to Type B ( $\bar { X }$ = 10) for productivity and a t value of 2.06 was obtained. With 14 A's and

Accepted Answer

A)  24 B's, the two groups are not significantly different 
B)  10 B's, the A's are significantly more productive 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  24 B's, the two groups are not significantly different 
B)  10 B's, the A's are significantly more productive 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 6

The actual amount of difference between the two populations the samples are from is most closely associated with

Accepted Answer

A)  effect size 
B)  critical value 
C)  one- or two-tailed tests 
D)  significance level. 
A)  effect size 
B)  critical value 
C)  one- or two-tailed tests 
D)  significance level.

The denominator of an independent-samples t test is a standard error of a difference.

Which of these phrases doesn't belong with the other three?

Suppose you calculated a 95 percent confidence interval about the difference between two paired means. The resulting confidence interval was -2.10 to 2.10. Knowing this, you can

"The difference between the two_________means is zero"is a statement of the null hypothesis.

Type A people ( $\bar { X }$ = 20) were compared to Type B ( $\bar { X }$ = 10) for productivity and a t value of 2.06 was obtained. With 14 A's and

The actual amount of difference between the two populations the samples are from is most closely associated with

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing and Effect Size: One-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 10: Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

The denominator of an independent-samples t test is a standard error of a difference.

Which of these phrases doesn't belong with the other three?

Suppose you calculated a 95 percent confidence interval about the difference between two paired means. The resulting confidence interval was -2.10 to 2.10. Knowing this, you can

"The difference between the two_________means is zero"is a statement of the null hypothesis.

Type A people ( Xˉ\bar { X }Xˉ = 20) were compared to Type B ( Xˉ\bar { X }Xˉ = 10) for productivity and a t value of 2.06 was obtained. With 14 A's and

The actual amount of difference between the two populations the samples are from is most closely associated with

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing and Effect Size: One-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Type A people ( $\bar { X }$ = 20) were compared to Type B ( $\bar { X }$ = 10) for productivity and a t value of 2.06 was obtained. With 14 A's and