Question 1

The criteria for a decision regarding the value stated in a null hypothesis is set by the

Accepted Answer

A)  level of significance. 
B)  p value. 
C)  probability value. 
D)  level of significance and p value. 
A)  level of significance. 
B)  p value. 
C)  probability value. 
D)  level of significance and p value.

Question 2

The test statistic determines whether or not an effect exists in a population; effect size measures the size of an observed effect in a population.

Accepted Answer

A) True 
 B)False

Question 3

A researcher directly controls for the probability of a ______,but does not directly control for the probability of a ______.

Accepted Answer

A)  Type I error; alpha level 
B)  Type II error; beta level 
C)  Type I error; Type II error 
D)  Type II error; Type I error 
A)  Type I error; alpha level 
B)  Type II error; beta level 
C)  Type I error; Type II error 
D)  Type II error; Type I error

Question 4

What are the two decisions that researchers can make in hypothesis testing?

Accepted Answer

A)  accept or reject the null hypothesis 
B)  retain or reject the null hypothesis 
C)  accept or reject the null hypothesis and retain or reject the null hypothesis 
A)  accept or reject the null hypothesis 
B)  retain or reject the null hypothesis 
C)  accept or reject the null hypothesis and retain or reject the null hypothesis

Question 5

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

Accepted Answer

A) True 
 B)False

Question 6

When reporting the results of a one-sample z test using APA format,the ______ does not need to be reported.

Accepted Answer

A)  test statistic 
B)  p value 
C)  effect size 
D)  critical values 
A)  test statistic 
B)  p value 
C)  effect size 
D)  critical values

Question 7

In Step 2 of hypothesis testing,researchers state a level of significance to minimize the probability of

Accepted Answer

A)  rejecting a true null hypothesis. 
B)  retaining a false null hypothesis. 
C)  inflating the power of a decision. 
D)  all of these. 
A)  rejecting a true null hypothesis. 
B)  retaining a false null hypothesis. 
C)  inflating the power of a decision. 
D)  all of these.

Question 8

A researcher obtains z = -6.45.What is the decision for a one-tailed test,upper-tail critical,at a .05 level of significance?

Accepted Answer

A)  to reject the null hypothesis 
B)  to retain the null hypothesis 
C)  it depends on the sample size 
D)  there is not enough information to make a decision 
A)  to reject the null hypothesis 
B)  to retain the null hypothesis 
C)  it depends on the sample size 
D)  there is not enough information to make a decision

Question 9

A researcher tests a hypothesis to prove whether or not his or her hypothesis is correct.

Accepted Answer

A) True 
 B)False

Question 10

Researchers directly control for the probability of committing a Type II error.

Accepted Answer

A) True 
 B)False

Question 11

The alpha level must be split into each tail for a directional hypothesis test.

Accepted Answer

A) True 
 B)False

Question 12

Increasing sample size will

Accepted Answer

A)  increase the alpha level. 
B)  increase the likelihood of committing a Type I error. 
C)  increase the power of the decision. 
D)  all of these. 
A)  increase the alpha level. 
B)  increase the likelihood of committing a Type I error. 
C)  increase the power of the decision. 
D)  all of these.

Question 13

A large effect size means that Cohen's d is at least equal to .80.

Accepted Answer

A) True 
 B)False

Question 14

The probability of committing a Type I error is stated by ______; the probability of committing a Type II error is stated by ______.

Accepted Answer

A)  beta; alpha 
B)  alpha; beta 
C)  a p value; a p value 
D)  the power; the power 
A)  beta; alpha 
B)  alpha; beta 
C)  a p value; a p value 
D)  the power; the power

Question 15

One step to hypothesis testing is to set the criteria for a decision.

Accepted Answer

A) True 
 B)False

Question 16

Rejecting a true null hypothesis is a Type I error.

Accepted Answer

A) True 
 B)False

Question 17

As the population standard deviation increases,the power to detect an effect increases.

Accepted Answer

A) True 
 B)False

Question 18

A method for testing a claim or hypothesis about a parameter in a population,using data measured in a sample,is called

Accepted Answer

A)  random sampling. 
B)  level of significance. 
C)  hypothesis testing. 
D)  guessing. 
A)  random sampling. 
B)  level of significance. 
C)  hypothesis testing. 
D)  guessing.

Question 19

In hypothesis testing,a researcher's decision

Accepted Answer

A)  is based on a probability. 
B)  depends on the level of significance for a hypothesis test. 
C)  can be to retain or reject the null hypothesis. 
D)  all of these. 
A)  is based on a probability. 
B)  depends on the level of significance for a hypothesis test. 
C)  can be to retain or reject the null hypothesis. 
D)  all of these.

Question 20

A professor finds that the average SAT score among all students attending his college is 1150 ± 150 ($\mu$±  $\sigma$).He polls his class of 25 students and finds that the average SAT score is 1200.Suppose he computes a one-sample z test at a .05 level of significance.What is his decision?

Accepted Answer

A)  to reject the null hypothesis 
B)  to retain the null hypothesis 
C)  to reject the null hypothesis for a two-tailed test, but to retain the null hypothesis for an upper-tailed test 
D)  to reject the null hypothesis for an upper-tailed test, but to retain the null hypothesis for a two-tailed test 
A)  to reject the null hypothesis 
B)  to retain the null hypothesis 
C)  to reject the null hypothesis for a two-tailed test, but to retain the null hypothesis for an upper-tailed test 
D)  to reject the null hypothesis for an upper-tailed test, but to retain the null hypothesis for a two-tailed test

The criteria for a decision regarding the value stated in a null hypothesis is set by the

The test statistic determines whether or not an effect exists in a population; effect size measures the size of an observed effect in a population.

A researcher directly controls for the probability of a ,but does not directly control for the probability of a .

What are the two decisions that researchers can make in hypothesis testing?

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

When reporting the results of a one-sample z test using APA format,the ______ does not need to be reported.

In Step 2 of hypothesis testing,researchers state a level of significance to minimize the probability of

A researcher obtains z = -6.45.What is the decision for a one-tailed test,upper-tail critical,at a .05 level of significance?

A researcher tests a hypothesis to prove whether or not his or her hypothesis is correct.

Researchers directly control for the probability of committing a Type II error.

The alpha level must be split into each tail for a directional hypothesis test.

Increasing sample size will

A large effect size means that Cohen's d is at least equal to .80.

The probability of committing a Type I error is stated by ; the probability of committing a Type II error is stated by .

One step to hypothesis testing is to set the criteria for a decision.

Rejecting a true null hypothesis is a Type I error.

As the population standard deviation increases,the power to detect an effect increases.

A method for testing a claim or hypothesis about a parameter in a population,using data measured in a sample,is called

In hypothesis testing,a researcher's decision

A professor finds that the average SAT score among all students attending his college is 1150 ± 150 ( $\mu$ ± $\sigma$ ).He polls his class of 25 students and finds that the average SAT score is 1200.Suppose he computes a one-sample z test at a .05 level of significance.What is his 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 criteria for a decision regarding the value stated in a null hypothesis is set by the

The test statistic determines whether or not an effect exists in a population; effect size measures the size of an observed effect in a population.

A researcher directly controls for the probability of a ______,but does not directly control for the probability of a ______.

What are the two decisions that researchers can make in hypothesis testing?

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

When reporting the results of a one-sample z test using APA format,the ______ does not need to be reported.

In Step 2 of hypothesis testing,researchers state a level of significance to minimize the probability of

A researcher obtains z = -6.45.What is the decision for a one-tailed test,upper-tail critical,at a .05 level of significance?

A researcher tests a hypothesis to prove whether or not his or her hypothesis is correct.

Researchers directly control for the probability of committing a Type II error.

The alpha level must be split into each tail for a directional hypothesis test.

Increasing sample size will

A large effect size means that Cohen's d is at least equal to .80.

The probability of committing a Type I error is stated by ______; the probability of committing a Type II error is stated by ______.

One step to hypothesis testing is to set the criteria for a decision.

Rejecting a true null hypothesis is a Type I error.

As the population standard deviation increases,the power to detect an effect increases.

A method for testing a claim or hypothesis about a parameter in a population,using data measured in a sample,is called

In hypothesis testing,a researcher's decision

A professor finds that the average SAT score among all students attending his college is 1150 ± 150 ( μ\muμ ± σ\sigmaσ ).He polls his class of 25 students and finds that the average SAT score is 1200.Suppose he computes a one-sample z test at a .05 level of significance.What is his 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

A researcher directly controls for the probability of a ,but does not directly control for the probability of a .

The probability of committing a Type I error is stated by ; the probability of committing a Type II error is stated by .

A professor finds that the average SAT score among all students attending his college is 1150 ± 150 ( $\mu$ ± $\sigma$ ).He polls his class of 25 students and finds that the average SAT score is 1200.Suppose he computes a one-sample z test at a .05 level of significance.What is his decision?