Question 1

Because of sampling error,a chi-square computed from sample data might be less than 0 even when the null hypothesis is true.

Accepted Answer

A) True 
 B)False

Question 2

The chi-square test is based on the assumption that the expected frequency for each cell is nonzero.

Accepted Answer

A) True 
 B)False

Question 3

As the observed and expected frequencies become more dissimilar,then we are more likely to ______.

Accepted Answer

A) accept the null 
B) reject the null 
C) increase the sample size 
D) reject H1 
A) accept the null 
B) reject the null 
C) increase the sample size 
D) reject H1

Question 4

As the population value of Cramer's statistic increases,what happens to the sample size needed to achieve a desired power level?

Accepted Answer

A) The sample size requirement increases. 
B) The sample size requirement decreases. 
C) The sample size requirement is unchanged. 
D) Cannot be determined without looking at the table. 
A) The sample size requirement increases. 
B) The sample size requirement decreases. 
C) The sample size requirement is unchanged. 
D) Cannot be determined without looking at the table.

Question 5

When is Pearson correlation typically used to analyze the relationship between two variables?

Accepted Answer

The chi-square test is typically used to

Question 6

What are the degrees of freedom?

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
A) 1 
B) 2 
C) 3 
D) 4

Question 7

Yates' correction for continuity involves which of the following procedures?

Accepted Answer

A) subtracting 5 from the absolute value of ?Oj-Ej? 
B) subtracting .5 from the absolute value of ?Oj-Ej? 
C) subtracting .5 from the absolute value of ?Oj-Ej?2 
D) subtracting 5 from the absolute value of ?Oj-Ej?2 
A) subtracting 5 from the absolute value of ?Oj-Ej? 
B) subtracting .5 from the absolute value of ?Oj-Ej? 
C) subtracting .5 from the absolute value of ?Oj-Ej?2 
D) subtracting 5 from the absolute value of ?Oj-Ej?2

Question 8

Which of the following is the recommended lowest expected frequency per cell one should have in order to use the chi-square test?

Accepted Answer

A) 0 
B) 5 
C) .5 
D) none of these 
A) 0 
B) 5 
C) .5 
D) none of these

Question 9

Which of the following situations refers to a chi-square test of independence?

Accepted Answer

A) when the marginal frequencies of both variables are random 
B) when one of the marginal frequencies for a variable is fixed 
C) when both of the variables have marginal frequencies that are fixed 
D) all of these 
A) when the marginal frequencies of both variables are random 
B) when one of the marginal frequencies for a variable is fixed 
C) when both of the variables have marginal frequencies that are fixed 
D) all of these

Question 10

If two variables are unrelated in the population,the population value of chi-square will equal 1.0.

Accepted Answer

A) True 
 B)False

Question 11

The null hypothesis for a chi-square test states that the variables of interest are unrelated
in the population,while the alternative hypothesis states that there is a relationship between the two variables in the population.

Accepted Answer

A) True 
 B)False

Question 12

When the marginal frequencies are random for one variable and fixed for the other,the analytical procedures are identical but the test is referred to as the chi-square test of heterogeneity.

Accepted Answer

A) True 
 B)False

Question 13

A researcher is interested in whether frequencies of ice cream preference are evenly distributed across the three categories of vanilla,chocolate,and strawberry.What is the chi-square goodness-of-fit value of the following data?
Ice Cream Preference O
Vanilla 100
Chocolate 70
Strawberry 40
Total 210

Accepted Answer

A) 0 
B) 5.99 
C) 25.71 
A) 0 
B) 5.99 
C) 25.71

Question 14

One of the assumptions of the chi-square test is that the expected frequencies be no lower than approximately 5.Which of the following is a strategy to ensure that this assumption is met?

Accepted Answer

A) conduct a goodness-of-fit test 
B) add a third group to at least one of the variables 
C) increase sample size 
D) ensure that eta-squared is at least .15. 
A) conduct a goodness-of-fit test 
B) add a third group to at least one of the variables 
C) increase sample size 
D) ensure that eta-squared is at least .15.

Question 15

As the discrepancy between the observed and expected frequencies becomes larger,the magnitude of the chi-square statistic ______.

Accepted Answer

A) decreases 
B) does not change 
C) increases 
D) increases by a factor of the square of the difference 
A) decreases 
B) does not change 
C) increases 
D) increases by a factor of the square of the difference

Question 16

When the marginal frequencies of both variables under study are random,the test is known as the chi-square test of:

Accepted Answer

A) heterogeneity 
B) dependence 
C) independence 
D) homogeneity 
A) heterogeneity 
B) dependence 
C) independence 
D) homogeneity

Question 17

When trying to decide the sample size necessary to achieve a particular level of statistical power,what information is needed?

Accepted Answer

A) size of the contingency table 
B) population value of Cramer's statistic 
C) the alpha level 
D) all of these 
A) size of the contingency table 
B) population value of Cramer's statistic 
C) the alpha level 
D) all of these

Question 18

The following tables summarize responses and partial chi-square test results from a survey asking college students to respond to the following question: "Within the last 30 days,how often do you think the typical student at your school used alcohol?" Both men and women responded to this question.

What is the expected frequency for females who believe the typical student at their school used alcohol daily in the last 30 days?

Accepted Answer

The answer of The following tables summarize responses and partial...

Question 19

A common use for the ____________________ test is to test whether frequencies in the population are evenly distributed across the categories under study.

Accepted Answer

The answer of A common use for the ____________________ test...

Question 20

Because of sampling error,a chi-square computed from sample data might be _____ even when the null hypothesis is true.

Accepted Answer

A) less than 0 
B) uninterpretable 
C) greater than 0 
A) less than 0 
B) uninterpretable 
C) greater than 0

Because of sampling error,a chi-square computed from sample data might be less than 0 even when the null hypothesis is true.

The chi-square test is based on the assumption that the expected frequency for each cell is nonzero.

As the observed and expected frequencies become more dissimilar,then we are more likely to ______.

As the population value of Cramer's statistic increases,what happens to the sample size needed to achieve a desired power level?

When is Pearson correlation typically used to analyze the relationship between two variables?

What are the degrees of freedom?

Yates' correction for continuity involves which of the following procedures?

Which of the following is the recommended lowest expected frequency per cell one should have in order to use the chi-square test?

Which of the following situations refers to a chi-square test of independence?

If two variables are unrelated in the population,the population value of chi-square will equal 1.0.

The null hypothesis for a chi-square test states that the variables of interest are unrelated in the population,while the alternative hypothesis states that there is a relationship between the two variables in the population.

When the marginal frequencies are random for one variable and fixed for the other,the analytical procedures are identical but the test is referred to as the chi-square test of heterogeneity.

A researcher is interested in whether frequencies of ice cream preference are evenly distributed across the three categories of vanilla,chocolate,and strawberry.What is the chi-square goodness-of-fit value of the following data? Ice Cream Preference O Vanilla 100 Chocolate 70 Strawberry 40 Total 210

One of the assumptions of the chi-square test is that the expected frequencies be no lower than approximately 5.Which of the following is a strategy to ensure that this assumption is met?

As the discrepancy between the observed and expected frequencies becomes larger,the magnitude of the chi-square statistic ______.

When the marginal frequencies of both variables under study are random,the test is known as the chi-square test of:

When trying to decide the sample size necessary to achieve a particular level of statistical power,what information is needed?

A common use for the ____________________ test is to test whether frequencies in the population are evenly distributed across the categories under study.

Because of sampling error,a chi-square computed from sample data might be _____ even when the null hypothesis is true.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 15: Chi-Square Test

Because of sampling error,a chi-square computed from sample data might be less than 0 even when the null hypothesis is true.

The chi-square test is based on the assumption that the expected frequency for each cell is nonzero.

As the observed and expected frequencies become more dissimilar,then we are more likely to ______.

As the population value of Cramer's statistic increases,what happens to the sample size needed to achieve a desired power level?

When is Pearson correlation typically used to analyze the relationship between two variables?

What are the degrees of freedom?

Yates' correction for continuity involves which of the following procedures?

Which of the following is the recommended lowest expected frequency per cell one should have in order to use the chi-square test?

Which of the following situations refers to a chi-square test of independence?

If two variables are unrelated in the population,the population value of chi-square will equal 1.0.

The null hypothesis for a chi-square test states that the variables of interest are unrelated in the population,while the alternative hypothesis states that there is a relationship between the two variables in the population.

When the marginal frequencies are random for one variable and fixed for the other,the analytical procedures are identical but the test is referred to as the chi-square test of heterogeneity.

One of the assumptions of the chi-square test is that the expected frequencies be no lower than approximately 5.Which of the following is a strategy to ensure that this assumption is met?

As the discrepancy between the observed and expected frequencies becomes larger,the magnitude of the chi-square statistic ______.

When the marginal frequencies of both variables under study are random,the test is known as the chi-square test of:

When trying to decide the sample size necessary to achieve a particular level of statistical power,what information is needed?

A common use for the ____________________ test is to test whether frequencies in the population are evenly distributed across the categories under study.

Because of sampling error,a chi-square computed from sample data might be _____ even when the null hypothesis is true.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters