Question 1

As long as the _____ assumption is met,observed frequencies can be as low as _____.

Accepted Answer

A) homogeneity of variance;10 
B) normality;1.0 
C) observed frequency;0 
D) expected frequency;0 
A) homogeneity of variance;10 
B) normality;1.0 
C) observed frequency;0 
D) expected frequency;0 D

Question 2

The entries within cells represent the number of individuals in the sample who are characterized by the corresponding levels of the variables and are referred to as marginal frequencies.

Accepted Answer

A) True 
 B)False  False

Question 3

How is the strength of the relationship between two variables in a contingency table evaluated?

Accepted Answer

Probably the most common index of the strength of association is a measure known as the fourfold point correlation coefficient (as it is called when applied to the relationship between variables with two levels each)or Cramér's statistic (as it is called when one or both variables have more than two levels).The fourfold point correlation/Cramér's statistic can range from 0 to 1.00,where a value of 0 indicates no relationship and a value of 1.00 indicates a perfect relationship.

Question 4

A researcher is interested in whether or not domestic violence occurs in the same proportion in families of alcoholics as it does in the population in general.If the relative frequency of domestic violence in the population is .05 and the relative frequency of no domestic violence in the population is .95,what is the chi-square goodness-of-fit value for the following data?
Alcohol Abuse Status O
Alcoholic 7
Nonalcoholic 23
Total 30

Accepted Answer

A) 5.5 
B) 21.23 
C) 30 
D) 60.5 
A) 5.5 
B) 21.23 
C) 30 
D) 60.5

Question 5

What are the advantages and disadvantages of applying the chi-square test to quantitative variables?

Accepted Answer

While the chi-square test is typically u

Question 6

The fourfold point correlation coefficient and Cramér's statistic can range from -1.00 to 1.00.

Accepted Answer

A) True 
 B)False

Question 7

When the marginal frequencies for both variables under study are random,the chi-square test of _____ is used,and when the marginal frequencies are random for one variable and fixed for the other,the chi-square test of _____ is used.

Accepted Answer

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

Question 8

The assignment of one variable as the row variable and the other variable as the column variable in a contingency table is arbitrary.

Accepted Answer

A) True 
 B)False

Question 9

Because the chi-square test is typically used to analyze the relationship between two qualitative variables,it cannot be used when one or both variables are quantitative.

Accepted Answer

A) True 
 B)False

Question 10

For the chi-square goodness-of-fit test,statisticians recommend that the lowest _____ frequency of any cell be between 5 and 10 in a 2X2 table and 5 in larger tables.

Accepted Answer

A) unexpected 
B) total 
C) observed 
D) expected 
A) unexpected 
B) total 
C) observed 
D) expected

Question 11

The chi-square goodness of fit test is a _____ test.

Accepted Answer

A) descriptive 
B) biased 
C) bivariate 
D) univariate 
A) descriptive 
B) biased 
C) bivariate 
D) univariate

Question 12

Research has generally found _____ to be preferable to the chi-square test in small sample situations.

Accepted Answer

A) Yates' Correction for Continuity 
B) Fisher's Exact Test 
C) Fisher's alpha test 
D) None of these 
A) Yates' Correction for Continuity 
B) Fisher's Exact Test 
C) Fisher's alpha test 
D) None of these

Question 13

The alternative hypothesis for the chi-square test is _____ in nature.

Accepted Answer

A) directional 
B) nondirectional 
C) mathematical 
D) computational 
A) directional 
B) nondirectional 
C) mathematical 
D) computational

Question 14

Using Table J,what decision would you make if you observed a chi-square statistic was 36.08 and your sample size was 20?

Accepted Answer

A) p0 
B) p0 
C) p>.01,fail to reject H0 
D) need more information 
A) p0 
B) p0 
C) p>.01,fail to reject H0 
D) need more information

Question 15

The chi-square statistic is an index that reflects the overall difference between the _____ and the _____ frequencies.

Accepted Answer

A) observed;total 
B) observed;expected 
C) expected;marginal 
D) expected;total 
A) observed;total 
B) observed;expected 
C) expected;marginal 
D) expected;total

Question 16

c2 (1,N = 200)= 12.89,p < .05.
What is the value of the chi-square statistic?

Accepted Answer

A) 200 
B) 12.89 
C) 1 
D) .05 
A) 200 
B) 12.89 
C) 1 
D) .05

Question 17

The degrees of freedom for the chi-square statistic for the test of independence depends on the _____.

Accepted Answer

A) number of levels of both variables 
B) sample size 
C) number of levels of the independent variable 
D) number of levels of the dependent variable 
A) number of levels of both variables 
B) sample size 
C) number of levels of the independent variable 
D) number of levels of the dependent variable

Question 18

When the marginal frequencies are random for one variable and fixed for the other,the test is referred to 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 19

The chi-square statistic reflects the overall difference between the ____________________ and the expected frequencies.

Accepted Answer

The answer of The chi-square statistic reflects the overall difference...

Question 20

Application of the chi-square test requires computation of an expected frequency for each cell under the assumption of no relationship between the two variables.

Accepted Answer

A) True 
 B)False

As long as the _ assumption is met,observed frequencies can be as low as _.

The entries within cells represent the number of individuals in the sample who are characterized by the corresponding levels of the variables and are referred to as marginal frequencies.

How is the strength of the relationship between two variables in a contingency table evaluated?

What are the advantages and disadvantages of applying the chi-square test to quantitative variables?

The fourfold point correlation coefficient and Cramér's statistic can range from -1.00 to 1.00.

When the marginal frequencies for both variables under study are random,the chi-square test of _ is used,and when the marginal frequencies are random for one variable and fixed for the other,the chi-square test of _ is used.

The assignment of one variable as the row variable and the other variable as the column variable in a contingency table is arbitrary.

Because the chi-square test is typically used to analyze the relationship between two qualitative variables,it cannot be used when one or both variables are quantitative.

For the chi-square goodness-of-fit test,statisticians recommend that the lowest _____ frequency of any cell be between 5 and 10 in a 2X2 table and 5 in larger tables.

The chi-square goodness of fit test is a _____ test.

Research has generally found _____ to be preferable to the chi-square test in small sample situations.

The alternative hypothesis for the chi-square test is _____ in nature.

Using Table J,what decision would you make if you observed a chi-square statistic was 36.08 and your sample size was 20?

The chi-square statistic is an index that reflects the overall difference between the _ and the _ frequencies.

c² (1,N = 200)= 12.89,p < .05. What is the value of the chi-square statistic?

The degrees of freedom for the chi-square statistic for the test of independence depends on the _____.

When the marginal frequencies are random for one variable and fixed for the other,the test is referred to as the chi-square test of:

The chi-square statistic reflects the overall difference between the ____________________ and the expected frequencies.

Application of the chi-square test requires computation of an expected frequency for each cell under the assumption of no relationship between the two variables.

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

As long as the _____ assumption is met,observed frequencies can be as low as _____.

The entries within cells represent the number of individuals in the sample who are characterized by the corresponding levels of the variables and are referred to as marginal frequencies.

How is the strength of the relationship between two variables in a contingency table evaluated?

What are the advantages and disadvantages of applying the chi-square test to quantitative variables?

The fourfold point correlation coefficient and Cramér's statistic can range from -1.00 to 1.00.

When the marginal frequencies for both variables under study are random,the chi-square test of _____ is used,and when the marginal frequencies are random for one variable and fixed for the other,the chi-square test of _____ is used.

The assignment of one variable as the row variable and the other variable as the column variable in a contingency table is arbitrary.

Because the chi-square test is typically used to analyze the relationship between two qualitative variables,it cannot be used when one or both variables are quantitative.

For the chi-square goodness-of-fit test,statisticians recommend that the lowest _____ frequency of any cell be between 5 and 10 in a 2X2 table and 5 in larger tables.

The chi-square goodness of fit test is a _____ test.

Research has generally found _____ to be preferable to the chi-square test in small sample situations.

The alternative hypothesis for the chi-square test is _____ in nature.

Using Table J,what decision would you make if you observed a chi-square statistic was 36.08 and your sample size was 20?

The chi-square statistic is an index that reflects the overall difference between the _____ and the _____ frequencies.

c2 (1,N = 200)= 12.89,p < .05. What is the value of the chi-square statistic?

The degrees of freedom for the chi-square statistic for the test of independence depends on the _____.

When the marginal frequencies are random for one variable and fixed for the other,the test is referred to as the chi-square test of:

The chi-square statistic reflects the overall difference between the ____________________ and the expected frequencies.

Application of the chi-square test requires computation of an expected frequency for each cell under the assumption of no relationship between the two variables.

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

As long as the _ assumption is met,observed frequencies can be as low as _.

When the marginal frequencies for both variables under study are random,the chi-square test of _ is used,and when the marginal frequencies are random for one variable and fixed for the other,the chi-square test of _ is used.

The chi-square statistic is an index that reflects the overall difference between the _ and the _ frequencies.

c² (1,N = 200)= 12.89,p < .05. What is the value of the chi-square statistic?