Question 1

An effect size index of .05 or greater is considered large.

Accepted Answer

A) True 
 B)False

Question 2

Probabilities were calculated for both sample means and sample standard deviations in Chapter 9.

Accepted Answer

A) True 
 B)False

Question 3

Data were gathered, the results analyzed, and H0 rejected. Based on the logic of hypothesis testing, you can conclude that

Accepted Answer

A)  the probability associated with the t value was high 
B)  a Type II error may have occurred 
C)  the mean of the population from which the sample was drawn is probably not the mean specified by the null hypothesis 
D)  all of the other alternatives are correct. 
A)  the probability associated with the t value was high 
B)  a Type II error may have occurred 
C)  the mean of the population from which the sample was drawn is probably not the mean specified by the null hypothesis 
D)  all of the other alternatives are correct.

Question 4

A t test value that is larger than the tabled value of t

Accepted Answer

A)  leads to retention of the null hypothesis 
B)  has a probability less than $\alpha$, if the null hypothesis is true 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  leads to retention of the null hypothesis 
B)  has a probability less than $\alpha$, if the null hypothesis is true 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 5

If the t test value is less than the critical value on the table,  the null hypothesis even though you could be making a  error.

Accepted Answer

A)  reject, Type I 
B)  retain, Type II 
C)  reject, Type II 
D)  retain, Type I. 
A)  reject, Type I 
B)  retain, Type II 
C)  reject, Type II 
D)  retain, Type I.

Question 6

Probabilities were calculated for sample means and sample correlation coefficients in Chapter 9.

Accepted Answer

A) True 
 B)False

Question 7

A correlation coefficient of .45 based on 18 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 8

A Pearson product-moment correlation coefficient of .34 obtained on 42 pairs of scores 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 9

Knowing that p is small for a data set, you can conclude

Accepted Answer

A)  that d is small 
B)  that d is large 
C)  nothing about the value of d. 
A)  that d is small 
B)  that d is large 
C)  nothing about the value of d.

Question 10

Rejecting a true null hypothesis is a Type II error.

Accepted Answer

A) True 
 B)False

Question 11

Data Set 9-3: N = 8 $\Sigma$X = 48 $\Sigma$XS1U1P12S1S1P0 = 351
-The value of the standard error of the mean for the scores in Data Set 9-3 is

Accepted Answer

A)  3.000 
B)  0.375 
C)  1.134 
D)  0.992 
E)  1.061 
A)  3.000 
B)  0.375 
C)  1.134 
D)  0.992 
E)  1.061

Question 12

A Type II error is 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 13

The probabilities you get from a t test based on the t distribution are correct when

Accepted Answer

A)  the null hypothesis is true 
B)  the null hypothesis is false 
C)  the alternative hypothesis is true 
D)  the alternative hypothesis is false. 
A)  the null hypothesis is true 
B)  the null hypothesis is false 
C)  the alternative hypothesis is true 
D)  the alternative hypothesis is false.

Question 14

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

Accepted Answer

A)  0.05 
B)  0.50 
C)  0.80 
D)  all of the other alternatives are correct 
E)  none of the other alternatives are correct. 
A)  0.05 
B)  0.50 
C)  0.80 
D)  all of the other alternatives are correct 
E)  none of the other alternatives are correct.

Question 15

The t distribution, as a sampling distribution, gives the probability of events when

Accepted Answer

A)  when the null hypothesis is true 
B)  when the null hypothesis is false 
C)  regardless of whether the null hypothesis is true or false 
D)  when the alternative hypothesis is not identified. 
A)  when the null hypothesis is true 
B)  when the null hypothesis is false 
C)  regardless of whether the null hypothesis is true or false 
D)  when the alternative hypothesis is not identified.

Question 16

"p > .05"means that

Accepted Answer

A)  the null hypothesis should be retained 
B)  the difference analyzed by a t test is 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 statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 17

For a two-tailed test of significance,

Accepted Answer

A)  the standard error is divided by two 
B)  the standard error is multiplied by two 
C)  the critical region is assigned to two places in the sampling distribution 
D)  there are two null hypotheses, both of which must be disproved to show a significant difference. 
A)  the standard error is divided by two 
B)  the standard error is multiplied by two 
C)  the critical region is assigned to two places in the sampling distribution 
D)  there are two null hypotheses, both of which must be disproved to show a significant difference.

An effect size index of .05 or greater is considered large.

Probabilities were calculated for both sample means and sample standard deviations in Chapter 9.

Data were gathered, the results analyzed, and H₀ rejected. Based on the logic of hypothesis testing, you can conclude that

A t test value that is larger than the tabled value of t

If the t test value is less than the critical value on the table, the null hypothesis even though you could be making a error.

Probabilities were calculated for sample means and sample correlation coefficients in Chapter 9.

A correlation coefficient of .45 based on 18 pairs is, for a two-tailed test,

A Pearson product-moment correlation coefficient of .34 obtained on 42 pairs of scores is, for a two-tailed test,

Knowing that p is small for a data set, you can conclude

Rejecting a true null hypothesis is a Type II error.

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -The value of the standard error of the mean for the scores in Data Set 9-3 is

A Type II error is possible

The probabilities you get from a t test based on the t distribution are correct when

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

The t distribution, as a sampling distribution, gives the probability of events when

"p > .05"means that

For a two-tailed test of significance,

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

An effect size index of .05 or greater is considered large.

Probabilities were calculated for both sample means and sample standard deviations in Chapter 9.

Data were gathered, the results analyzed, and H0 rejected. Based on the logic of hypothesis testing, you can conclude that

A t test value that is larger than the tabled value of t

If the t test value is less than the critical value on the table, the null hypothesis even though you could be making a error.

Probabilities were calculated for sample means and sample correlation coefficients in Chapter 9.

A correlation coefficient of .45 based on 18 pairs is, for a two-tailed test,

A Pearson product-moment correlation coefficient of .34 obtained on 42 pairs of scores is, for a two-tailed test,

Knowing that p is small for a data set, you can conclude

Rejecting a true null hypothesis is a Type II error.

Data Set 9-3: N = 8 Σ\SigmaΣ X = 48 Σ\SigmaΣ X2 = 351 -The value of the standard error of the mean for the scores in Data Set 9-3 is

A Type II error is possible

The probabilities you get from a t test based on the t distribution are correct when

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

The t distribution, as a sampling distribution, gives the probability of events when

"p > .05"means that

For a two-tailed test of significance,

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 were gathered, the results analyzed, and H₀ rejected. Based on the logic of hypothesis testing, you can conclude that

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -The value of the standard error of the mean for the scores in Data Set 9-3 is