Question 1

The level of significance in hypothesis testing in the behavioral sciences is typically set at .05.

Accepted Answer

A) True 
 B)False  True

Question 2

A researcher computes a test statistic and finds that the p value for this test is .03.What does this result mean?

Accepted Answer

A)  There is a 3% likelihood of obtaining the test statistic value, if the null were true. 
B)  The probability of committing a Type I error if we retain the null hypothesis is 3%. 
C)  The probability of committing a Type II error if we reject the null hypothesis is 3%. 
D)  There is a 3% likelihood that the researcher's hypothesis is correct. 
A)  There is a 3% likelihood of obtaining the test statistic value, if the null were true. 
B)  The probability of committing a Type I error if we retain the null hypothesis is 3%. 
C)  The probability of committing a Type II error if we reject the null hypothesis is 3%. 
D)  There is a 3% likelihood that the researcher's hypothesis is correct. A

Question 3

Suppose a researcher wants to make sure that the probability of committing a Type I error is less than 5%.How can the researcher control for this?

Accepted Answer

A)  set the value for a Type II error at .05 
B)  set the alpha level at .05 
C)  place the rejection region in both tails 
D)  set the alpha level at .05 and place the rejection region in both tails 
A)  set the value for a Type II error at .05 
B)  set the alpha level at .05 
C)  place the rejection region in both tails 
D)  set the alpha level at .05 and place the rejection region in both tails B

Question 4

Which of the following is a scenario in which increasing sample size will increase power?

Accepted Answer

A)  when the effect size is small 
B)  when the effect size is large 
C)  when the probability of a Type I error is small 
D)  all of these 
A)  when the effect size is small 
B)  when the effect size is large 
C)  when the probability of a Type I error is small 
D)  all of these

Question 5

Is a one-sample z test reported differently for one-tailed and two-tailed tests?

Accepted Answer

A)  No, the same values are reported. 
B)  It depends on whether the results were significant. 
C)  Yes, only significant results for a two-tailed test are reported. 
D)  It can be reported differently when the effect size is large. 
A)  No, the same values are reported. 
B)  It depends on whether the results were significant. 
C)  Yes, only significant results for a two-tailed test are reported. 
D)  It can be reported differently when the effect size is large.

Question 6

A measure of the size of an effect in a population is called

Accepted Answer

A)  significance. 
B)  probability. 
C)  power. 
D)  effect size. 
A)  significance. 
B)  probability. 
C)  power. 
D)  effect size.

Question 7

Cohen's d is a measure of how far mean scores have shifted in a population.

Accepted Answer

A) True 
 B)False

Question 8

An effect size of d = 0.68 is a large effect in the population.

Accepted Answer

A) True 
 B)False

Question 9

Given the following values: $\mu$= 10,M = 8, $\sigma$M = 0.5,conduct a one-sample z test at a .05 level of significance.What is the decision for a two-tailed test?

Accepted Answer

A)  to reject the null hypothesis 
B)  to retain the null hypothesis 
C)  There is not enough information since the sample size is not given. 
A)  to reject the null hypothesis 
B)  to retain the null hypothesis 
C)  There is not enough information since the sample size is not given.

Question 10

A researcher conducts a study,but has low power to detect an effect.Which of the following is one way in which the research can increase power?

Accepted Answer

A)  make the alpha level smaller 
B)  increase the sample size 
C)  study a population with a larger standard deviation 
D)  conduct the study again with the same sample size 
A)  make the alpha level smaller 
B)  increase the sample size 
C)  study a population with a larger standard deviation 
D)  conduct the study again with the same sample size

Question 11

A researcher computes a z statistic and obtains z = 2.10.If this were a one-tailed (lower-tail critical)test,then the decision would be to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 12

Following the steps to hypothesis testing allows researchers to make decisions about parameters in a sample using statistics measured in a population.

Accepted Answer

A) True 
 B)False

Question 13

A null finding is one in which the null hypothesis is incorrectly rejected.

Accepted Answer

A) True 
 B)False

Question 14

Hypothesis testing is also called

Accepted Answer

A)  Type III error. 
B)  random testing. 
C)  effect size. 
D)  significance testing. 
A)  Type III error. 
B)  random testing. 
C)  effect size. 
D)  significance testing.

Question 15

A researcher believes that increasing attention given to children will improve mean academic performance.Therefore,the alternative hypothesis should be:

Accepted Answer

A)  mean academic performance will increase. 
B)  mean academic performance will decrease. 
C)  mean academic performance will not change. 
D)  mean attention will increase. 
A)  mean academic performance will increase. 
B)  mean academic performance will decrease. 
C)  mean academic performance will not change. 
D)  mean attention will increase.

Question 16

The p value is reported with the test statistic of a one-sample z test using APA format.

Accepted Answer

A) True 
 B)False

Question 17

In hypothesis testing,a researcher can never

Accepted Answer

A)  compute a test statistic before making a decision. 
B)  make decisions about the null hypothesis. 
C)  prove that his or her hypothesis is correct. 
D)  know the likelihood of obtaining a sample mean if the null hypothesis were true. 
A)  compute a test statistic before making a decision. 
B)  make decisions about the null hypothesis. 
C)  prove that his or her hypothesis is correct. 
D)  know the likelihood of obtaining a sample mean if the null hypothesis were true.

Question 18

A null finding is a decision to retain a null hypothesis that is correct.

Accepted Answer

A) True 
 B)False

Question 19

For the one-sample z test,the larger the value of a test statistic,the more likely that the decision will be to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 20

A researcher obtains z = 3.98 for a one-sample z test.If her decision is to retain the null hypothesis,then what do you know about her decision?

Accepted Answer

A)  Her decision was inconclusive. 
B)  Her decision was based on a two-tailed test. 
C)  Her decision resulted in a Type III error. 
D)  Her decision was inconclusive and her decision was based on a two-tailed test. 
A)  Her decision was inconclusive. 
B)  Her decision was based on a two-tailed test. 
C)  Her decision resulted in a Type III error. 
D)  Her decision was inconclusive and her decision was based on a two-tailed test.

The level of significance in hypothesis testing in the behavioral sciences is typically set at .05.

A researcher computes a test statistic and finds that the p value for this test is .03.What does this result mean?

Suppose a researcher wants to make sure that the probability of committing a Type I error is less than 5%.How can the researcher control for this?

Which of the following is a scenario in which increasing sample size will increase power?

Is a one-sample z test reported differently for one-tailed and two-tailed tests?

A measure of the size of an effect in a population is called

Cohen's d is a measure of how far mean scores have shifted in a population.

An effect size of d = 0.68 is a large effect in the population.

Given the following values: $\mu$ = 10,M = 8, $\sigma$ _M = 0.5,conduct a one-sample z test at a .05 level of significance.What is the decision for a two-tailed test?

A researcher conducts a study,but has low power to detect an effect.Which of the following is one way in which the research can increase power?

A researcher computes a z statistic and obtains z = 2.10.If this were a one-tailed (lower-tail critical)test,then the decision would be to reject the null hypothesis.

Following the steps to hypothesis testing allows researchers to make decisions about parameters in a sample using statistics measured in a population.

A null finding is one in which the null hypothesis is incorrectly rejected.

Hypothesis testing is also called

A researcher believes that increasing attention given to children will improve mean academic performance.Therefore,the alternative hypothesis should be:

The p value is reported with the test statistic of a one-sample z test using APA format.

In hypothesis testing,a researcher can never

A null finding is a decision to retain a null hypothesis that is correct.

For the one-sample z test,the larger the value of a test statistic,the more likely that the decision will be to reject the null hypothesis.

A researcher obtains z = 3.98 for a one-sample z test.If her decision is to retain the null hypothesis,then what do you know about her decision?

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

The level of significance in hypothesis testing in the behavioral sciences is typically set at .05.

A researcher computes a test statistic and finds that the p value for this test is .03.What does this result mean?

Suppose a researcher wants to make sure that the probability of committing a Type I error is less than 5%.How can the researcher control for this?

Which of the following is a scenario in which increasing sample size will increase power?

Is a one-sample z test reported differently for one-tailed and two-tailed tests?

A measure of the size of an effect in a population is called

Cohen's d is a measure of how far mean scores have shifted in a population.

An effect size of d = 0.68 is a large effect in the population.

Given the following values: μ\muμ = 10,M = 8, σ\sigmaσ M = 0.5,conduct a one-sample z test at a .05 level of significance.What is the decision for a two-tailed test?

A researcher conducts a study,but has low power to detect an effect.Which of the following is one way in which the research can increase power?

A researcher computes a z statistic and obtains z = 2.10.If this were a one-tailed (lower-tail critical)test,then the decision would be to reject the null hypothesis.

Following the steps to hypothesis testing allows researchers to make decisions about parameters in a sample using statistics measured in a population.

A null finding is one in which the null hypothesis is incorrectly rejected.

Hypothesis testing is also called

A researcher believes that increasing attention given to children will improve mean academic performance.Therefore,the alternative hypothesis should be:

The p value is reported with the test statistic of a one-sample z test using APA format.

In hypothesis testing,a researcher can never

A null finding is a decision to retain a null hypothesis that is correct.

For the one-sample z test,the larger the value of a test statistic,the more likely that the decision will be to reject the null hypothesis.

A researcher obtains z = 3.98 for a one-sample z test.If her decision is to retain the null hypothesis,then what do you know about her decision?

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

Given the following values: $\mu$ = 10,M = 8, $\sigma$ _M = 0.5,conduct a one-sample z test at a .05 level of significance.What is the decision for a two-tailed test?