Question 1

If the value of the test statistic is in the rejection region,then

Accepted Answer

A)  p < .05. 
B)  the decision is to reject the null hypothesis. 
C)  the value of the test statistic is larger than the critical value. 
D)  all of these. 
A)  p < .05. 
B)  the decision is to reject the null hypothesis. 
C)  the value of the test statistic is larger than the critical value. 
D)  all of these.

Question 2

The z statistic measures the size of an effect in some population.

Accepted Answer

A) True 
 B)False

Question 3

The one-sample z test is a hypothesis test used to test hypotheses

Accepted Answer

A)  concerning a single population with a known variance. 
B)  concerning at least one population. 
C)  concerning the variance in a population. 
D)  all of these. 
A)  concerning a single population with a known variance. 
B)  concerning at least one population. 
C)  concerning the variance in a population. 
D)  all of these.

Question 4

When a researcher decides to retain the null hypothesis because the rejection region was located in the wrong tail,this is called a

Accepted Answer

A)  Type I error. 
B)  Type II error. 
C)  Type III error. 
D)  correct decision. 
A)  Type I error. 
B)  Type II error. 
C)  Type III error. 
D)  correct decision.

Question 5

A researcher conducts two studies.Each study was a one-sample z test.Both studies placed the rejection region in both tails and measured the same sample mean.The beta level in Study 1 was larger than the beta level used in Study 2.Which study is associated with greater power to detect an effect?

Accepted Answer

A)  Study 1 
B)  Study 2 
C)  They are associated with the same level of power. 
A)  Study 1 
B)  Study 2 
C)  They are associated with the same level of power.

Question 6

The critical values are reported with the test statistic of a one-sample z test using APA format.

Accepted Answer

A) True 
 B)False

Question 7

A researcher selects a sample of 36 students from a school population with a mean IQ of 100 and a standard deviation of 12.She determines that the mean IQ in this sample is 104.Assuming she computes a one-sample z test at a .05 level of significance,what is the decision for a two-tailed test?

Accepted Answer

A)  Retain the null hypothesis; IQ scores in this sample are the same as those in the population. 
B)  Reject the null hypothesis; IQ scores in this sample are significantly higher than those in the population. 
C)  There is not enough information to make a decision. 
A)  Retain the null hypothesis; IQ scores in this sample are the same as those in the population. 
B)  Reject the null hypothesis; IQ scores in this sample are significantly higher than those in the population. 
C)  There is not enough information to make a decision.

Question 8

A researcher reports that the size of an effect in Population A is d = 0.10 and the effect size in Population B is d = 0.34.Which population is associated with greater power to detect an effect?

Accepted Answer

A)  Population A 
B)  Population B 
C)  They are associated with the same level of power. 
A)  Population A 
B)  Population B 
C)  They are associated with the same level of power.

Question 9

Researchers state a level of significance in terms of an alpha level.The alpha level indicates

Accepted Answer

A)  the probability of committing a Type I error. 
B)  the probability of incorrectly rejecting the null hypothesis. 
C)  the probability value for the rejection region. 
D)  all of these. 
A)  the probability of committing a Type I error. 
B)  the probability of incorrectly rejecting the null hypothesis. 
C)  the probability value for the rejection region. 
D)  all of these.

Question 10

Based on the effect size conventions,d = 0.18 is a

Accepted Answer

A)  small effect size. 
B)  medium effect size. 
C)  large effect size. 
A)  small effect size. 
B)  medium effect size. 
C)  large effect size.

Question 11

A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.

Accepted Answer

A) True 
 B)False

Question 12

As effect size increases,the power to detect an effect decreases.

Accepted Answer

A) True 
 B)False

Question 13

A researcher reports that the size of an effect in some population is d = 0.88.Which of the following is an appropriate interpretation for d?

Accepted Answer

A)  The effect observed in the population was significant. 
B)  Mean scores were significant by 0.88 points in the sample. 
C)  Mean scores were significant by 0.88 points in the population. 
D)  Mean scores shifted 0.88 standard deviations in the population. 
A)  The effect observed in the population was significant. 
B)  Mean scores were significant by 0.88 points in the sample. 
C)  Mean scores were significant by 0.88 points in the population. 
D)  Mean scores shifted 0.88 standard deviations in the population.

Question 14

Assuming that the rejection region is placed in the correct tail,the power of detecting an effect is larger for one-tailed tests compared with two-tailed tests.

Accepted Answer

A) True 
 B)False

Question 15

Based on the effect size conventions,d = 0.90 is a

Accepted Answer

A)  small effect size. 
B)  medium effect size. 
C)  large effect size. 
A)  small effect size. 
B)  medium effect size. 
C)  large effect size.

Question 16

The alpha level is the likelihood of committing a Type I error.

Accepted Answer

A) True 
 B)False

Question 17

The greater the power,the less likely we are to correctly reject the null hypothesis,if it is incorrect.

Accepted Answer

A) True 
 B)False

Question 18

Based on the effect size conventions,d = 0.60 is a

Accepted Answer

A)  small effect size. 
B)  medium effect size. 
C)  large effect size. 
A)  small effect size. 
B)  medium effect size. 
C)  large effect size.

Question 19

The null hypothesis and alternative hypotheses are statements about parameters in the population.

Accepted Answer

A) True 
 B)False

Question 20

A researcher reports that the standard deviation in Population A is $\sigma$ = 2.3 and the standard deviation in Population B is $\sigma$ = 4.3.Which population is associated with the highest power to detect an effect?

Accepted Answer

A)  Population A 
B)  Population B 
C)  They are associated with the same level of power. 
A)  Population A 
B)  Population B 
C)  They are associated with the same level of power.

If the value of the test statistic is in the rejection region,then

The z statistic measures the size of an effect in some population.

The one-sample z test is a hypothesis test used to test hypotheses

When a researcher decides to retain the null hypothesis because the rejection region was located in the wrong tail,this is called a

A researcher conducts two studies.Each study was a one-sample z test.Both studies placed the rejection region in both tails and measured the same sample mean.The beta level in Study 1 was larger than the beta level used in Study 2.Which study is associated with greater power to detect an effect?

The critical values are reported with the test statistic of a one-sample z test using APA format.

A researcher selects a sample of 36 students from a school population with a mean IQ of 100 and a standard deviation of 12.She determines that the mean IQ in this sample is 104.Assuming she computes a one-sample z test at a .05 level of significance,what is the decision for a two-tailed test?

A researcher reports that the size of an effect in Population A is d = 0.10 and the effect size in Population B is d = 0.34.Which population is associated with greater power to detect an effect?

Researchers state a level of significance in terms of an alpha level.The alpha level indicates

Based on the effect size conventions,d = 0.18 is a

A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.

As effect size increases,the power to detect an effect decreases.

A researcher reports that the size of an effect in some population is d = 0.88.Which of the following is an appropriate interpretation for d?

Assuming that the rejection region is placed in the correct tail,the power of detecting an effect is larger for one-tailed tests compared with two-tailed tests.

Based on the effect size conventions,d = 0.90 is a

The alpha level is the likelihood of committing a Type I error.

The greater the power,the less likely we are to correctly reject the null hypothesis,if it is incorrect.

Based on the effect size conventions,d = 0.60 is a

The null hypothesis and alternative hypotheses are statements about parameters in the population.

A researcher reports that the standard deviation in Population A is $\sigma$ = 2.3 and the standard deviation in Population B is $\sigma$ = 4.3.Which population is associated with the highest power to detect an effect?

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, normal Distributions, and Z Scores

Probability and Sampling Distributions

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 8: Hypothesis Testing: Significance,effect Size,and Power

If the value of the test statistic is in the rejection region,then

The z statistic measures the size of an effect in some population.

The one-sample z test is a hypothesis test used to test hypotheses

When a researcher decides to retain the null hypothesis because the rejection region was located in the wrong tail,this is called a

A researcher conducts two studies.Each study was a one-sample z test.Both studies placed the rejection region in both tails and measured the same sample mean.The beta level in Study 1 was larger than the beta level used in Study 2.Which study is associated with greater power to detect an effect?

The critical values are reported with the test statistic of a one-sample z test using APA format.

A researcher selects a sample of 36 students from a school population with a mean IQ of 100 and a standard deviation of 12.She determines that the mean IQ in this sample is 104.Assuming she computes a one-sample z test at a .05 level of significance,what is the decision for a two-tailed test?

A researcher reports that the size of an effect in Population A is d = 0.10 and the effect size in Population B is d = 0.34.Which population is associated with greater power to detect an effect?

Researchers state a level of significance in terms of an alpha level.The alpha level indicates

Based on the effect size conventions,d = 0.18 is a

A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.

As effect size increases,the power to detect an effect decreases.

A researcher reports that the size of an effect in some population is d = 0.88.Which of the following is an appropriate interpretation for d?

Assuming that the rejection region is placed in the correct tail,the power of detecting an effect is larger for one-tailed tests compared with two-tailed tests.

Based on the effect size conventions,d = 0.90 is a

The alpha level is the likelihood of committing a Type I error.

The greater the power,the less likely we are to correctly reject the null hypothesis,if it is incorrect.

Based on the effect size conventions,d = 0.60 is a

The null hypothesis and alternative hypotheses are statements about parameters in the population.

A researcher reports that the standard deviation in Population A is σ\sigmaσ = 2.3 and the standard deviation in Population B is σ\sigmaσ = 4.3.Which population is associated with the highest power to detect an effect?

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, normal Distributions, and Z Scores

Probability and Sampling Distributions

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

A researcher reports that the standard deviation in Population A is $\sigma$ = 2.3 and the standard deviation in Population B is $\sigma$ = 4.3.Which population is associated with the highest power to detect an effect?