Question 1

A correlation coefficient of .202 based on 92 pairs is, for a two-tailed test,

Accepted Answer

A)  significant at the .05 level 
B)  significant at the .01 level 
C)  significant at the .001 level 
D)  not significant. 
A)  significant at the .05 level 
B)  significant at the .01 level 
C)  significant at the .001 level 
D)  not significant.

Question 2

Data Set 9-3: N = 8 $\Sigma$X = 48 $\Sigma$XS1U1P12S1S1P0 = 351
-The t value when the scores in Data Set 9-3 are tested against H0: $\mu$ = 9.00 leads to the conclusion that the null hypothesis be

Accepted Answer

A)  rejected at the .05 level for a two-tailed test 
B)  rejected at the .05 and .01 level for a two-tailed test 
C)  rejected at the .05, .01, and .001 level for a one-tailed test 
D)  retained. 
A)  rejected at the .05 level for a two-tailed test 
B)  rejected at the .05 and .01 level for a two-tailed test 
C)  rejected at the .05, .01, and .001 level for a one-tailed test 
D)  retained.

Question 3

The choice of an alternative hypothesis has an effect on

Accepted Answer

A)  conclusions you may draw 
B)  $\alpha$ level 
C)  which null hypothesis you are testing 
D)  all of the other alternatives are correct. 
A)  conclusions you may draw 
B)  $\alpha$ level 
C)  which null hypothesis you are testing 
D)  all of the other alternatives are correct.

Question 4

Which of the following is a null hypothesis?

Accepted Answer

A)  µ$\neq$100 
B)  µ = 100 
C)  $\mu$  100. 
A)  µ$\neq$100 
B)  µ = 100 
C)  $\mu$  100.

Question 5

If the null hypothesis is retained, the difference is not statistically significant.

Accepted Answer

A) True 
 B)False

Question 6

The p in p < .05 is the probability

Accepted Answer

A)  that the null hypothesis is true 
B)  that the alternative hypothesis is true 
C)  that the null hypothesis is false 
D)  of the data obtained if the null hypothesis is true. 
A)  that the null hypothesis is true 
B)  that the alternative hypothesis is true 
C)  that the null hypothesis is false 
D)  of the data obtained if the null hypothesis is true.

Question 7

Values of p larger than 1.00 are not possible.

Accepted Answer

A) True 
 B)False

Question 8

When statisticians talk about effect size, they are referring to

Accepted Answer

A)  the p value obtained from a test such as a t test 
B)  the difference between the mean of the population the sample is from and the mean of the null hypothesis population 
C)  whether an$\alpha$level of .05 or .01 was used 
D)  whether or not the test statistic was in the rejection region. 
A)  the p value obtained from a test such as a t test 
B)  the difference between the mean of the population the sample is from and the mean of the null hypothesis population 
C)  whether an$\alpha$level of .05 or .01 was used 
D)  whether or not the test statistic was in the rejection region.

Question 9

A small effect size index value is anything less than 1.00.

Accepted Answer

A) True 
 B)False

Question 10

Data Set 9-4: N = 6 $\Sigma$X = 30 $\Sigma$XS1U1P12S1S1P0 = 180
-Test the scores in Data Set 9-4 against H0:µ = 8.00. The t value that results is

Accepted Answer

A)  7.35 
B)  3.29 
C)  3.00 
D)  2.74 
E)  1.23 
A)  7.35 
B)  3.29 
C)  3.00 
D)  2.74 
E)  1.23

Question 11

A Type II error is not possible

Accepted Answer

A)  when you have retained the null hypothesis 
B)  when you have rejected the null hypothesis 
C)  regardless of whether you have retained or rejected the null hypothesis 
A)  when you have retained the null hypothesis 
B)  when you have rejected the null hypothesis 
C)  regardless of whether you have retained or rejected the null hypothesis

Question 12

For a one-tailed test of significance, the

Accepted Answer

A)  probability of a Type I error is half as big as for a two-tailed test of significance 
B)  rejection region is in one part of the sampling distribution instead of two 
C)  neither of the other alternatives is correct. 
A)  probability of a Type I error is half as big as for a two-tailed test of significance 
B)  rejection region is in one part of the sampling distribution instead of two 
C)  neither of the other alternatives is correct.

Question 13

Which of the following is an alternative hypothesis?

Accepted Answer

A)  µ = 100 
B)  µ $\neq$ 100 
C)  both µ = 100 and µ $\neq$100 
D)  neither µ = 100 nor µ $\neq$ 100. 
A)  µ = 100 
B)  µ $\neq$ 100 
C)  both µ = 100 and µ $\neq$100 
D)  neither µ = 100 nor µ $\neq$ 100.

Question 14

For a one-sample t test, an effect size that would qualify as large is

Accepted Answer

A)  0.05 
B)  0.20 
C)  0.80 
D)  all of the other alternatives are correct 
E)  none of the other alternatives are correct. 
A)  0.05 
B)  0.20 
C)  0.80 
D)  all of the other alternatives are correct 
E)  none of the other alternatives are correct.

Question 15

The null hypothesis is a hypothesis about

Accepted Answer

A)  the sample 
B)  the population 
C)  the t distribution 
D)  a sampling distribution. 
A)  the sample 
B)  the population 
C)  the t distribution 
D)  a sampling distribution.

Question 16

"p > .05"means that

Accepted Answer

A)  the null hypothesis should be retained 
B)  the difference analyzed by a t test is not statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  the null hypothesis should be retained 
B)  the difference analyzed by a t test is not statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 17

The numerator of a t test is a difference between means.

Accepted Answer

A) True 
 B)False

Question 18

Which phrase goes with "in the rejection region"?

Accepted Answer

A)  The probability of the data-based t value is larger than alpha 
B)  Reject the null hypothesis 
C)  Both of the descriptive alternatives are correct 
D)  Neither of the descriptive alternatives is correct. 
A)  The probability of the data-based t value is larger than alpha 
B)  Reject the null hypothesis 
C)  Both of the descriptive alternatives are correct 
D)  Neither of the descriptive alternatives is correct.

Question 19

The statistic d tells you

Accepted Answer

A)  the probability that the null hypothesis is true 
B)  the size of the null hypothesis 
C)  the degree of separation between the sampled population and the null hypothesis population 
D)  whether the population sampled from is different from the null hypothesis population 
A)  the probability that the null hypothesis is true 
B)  the size of the null hypothesis 
C)  the degree of separation between the sampled population and the null hypothesis population 
D)  whether the population sampled from is different from the null hypothesis population

Question 20

Data Set 9-1: Sample scores: 2, 3, 4
-The t value when the scores in Data Set 9-1 are tested against H0: µ = 1.00 leads to the conclusion that the null hypothesis be

Accepted Answer

A)  rejected at the .05 level for a two-tailed test 
B)  rejected at the .05 and .01 level for a two-tailed test 
C)  rejected at the .05 level for a one-tailed test 
D)  retained. 
A)  rejected at the .05 level for a two-tailed test 
B)  rejected at the .05 and .01 level for a two-tailed test 
C)  rejected at the .05 level for a one-tailed test 
D)  retained.

A correlation coefficient of .202 based on 92 pairs is, for a two-tailed test,

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -The t value when the scores in Data Set 9-3 are tested against H₀: $\mu$ = 9.00 leads to the conclusion that the null hypothesis be

The choice of an alternative hypothesis has an effect on

Which of the following is a null hypothesis?

If the null hypothesis is retained, the difference is not statistically significant.

The p in p < .05 is the probability

Values of p larger than 1.00 are not possible.

When statisticians talk about effect size, they are referring to

A small effect size index value is anything less than 1.00.

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -Test the scores in Data Set 9-4 against H₀:µ = 8.00. The t value that results is

A Type II error is not possible

For a one-tailed test of significance, the

Which of the following is an alternative hypothesis?

For a one-sample t test, an effect size that would qualify as large is

The null hypothesis is a hypothesis about

"p > .05"means that

The numerator of a t test is a difference between means.

Which phrase goes with "in the rejection region"?

The statistic d tells you

Data Set 9-1: Sample scores: 2, 3, 4 -The t value when the scores in Data Set 9-1 are tested against H₀: µ = 1.00 leads to the conclusion that the null hypothesis be

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, Effect Size, and and Confidence Intervals: Two-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 9: Hypothesis Testing and Effect Size: One-Sample Designs

A correlation coefficient of .202 based on 92 pairs is, for a two-tailed test,

Data Set 9-3: N = 8 Σ\SigmaΣ X = 48 Σ\SigmaΣ X2 = 351 -The t value when the scores in Data Set 9-3 are tested against H0: μ\muμ = 9.00 leads to the conclusion that the null hypothesis be

The choice of an alternative hypothesis has an effect on

Which of the following is a null hypothesis?

If the null hypothesis is retained, the difference is not statistically significant.

The p in p < .05 is the probability

Values of p larger than 1.00 are not possible.

When statisticians talk about effect size, they are referring to

A small effect size index value is anything less than 1.00.

Data Set 9-4: N = 6 Σ\SigmaΣ X = 30 Σ\SigmaΣ X2 = 180 -Test the scores in Data Set 9-4 against H0:µ = 8.00. The t value that results is

A Type II error is not possible

For a one-tailed test of significance, the

Which of the following is an alternative hypothesis?

For a one-sample t test, an effect size that would qualify as large is

The null hypothesis is a hypothesis about

"p > .05"means that

The numerator of a t test is a difference between means.

Which phrase goes with "in the rejection region"?

The statistic d tells you

Data Set 9-1: Sample scores: 2, 3, 4 -The t value when the scores in Data Set 9-1 are tested against H0: µ = 1.00 leads to the conclusion that the null hypothesis be

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, Effect Size, and and Confidence Intervals: Two-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

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -The t value when the scores in Data Set 9-3 are tested against H₀: $\mu$ = 9.00 leads to the conclusion that the null hypothesis be

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -Test the scores in Data Set 9-4 against H₀:µ = 8.00. The t value that results is

Data Set 9-1: Sample scores: 2, 3, 4 -The t value when the scores in Data Set 9-1 are tested against H₀: µ = 1.00 leads to the conclusion that the null hypothesis be