Question 1

The statistical tool used for a chi-square test of independence is Cross Tabulation.

Accepted Answer

A) True 
 B)False  True

Question 2

A chi-square test of independence can be used with data at the ordinal level.

Accepted Answer

A) True 
 B)False  True

Question 3

Use the following statistic to determine if the chi-square test of independence calculated a statistically significant difference:

Accepted Answer

A)  ANOVA Sig. 
B)  Levene's Test 
C)  Asymp. Sig. 
D)  One-Sample Test Significance 
A)  ANOVA Sig. 
B)  Levene's Test 
C)  Asymp. Sig. 
D)  One-Sample Test Significance C

Question 4

A chi-square test of independence usually involves two variables at the nominal level (though it can also use two ordinal variables).

Accepted Answer

A) True 
 B)False

Question 5

A chi-square test of independence requires a grouping variable.

Accepted Answer

A) True 
 B)False

Question 6

SPSS Statistics displays the following outputs for a chi-square test of independence:

Accepted Answer

A)  Descriptives. 
B)  Case Processing Summary. 
C)  Chi-Square Tests. 
D)  Both B and C. 
A)  Descriptives. 
B)  Case Processing Summary. 
C)  Chi-Square Tests. 
D)  Both B and C.

Question 7

In research reports, you need to report the degrees of freedom for the chi-square test of independence along with the frequencies for each category.

Accepted Answer

A) True 
 B)False

Question 8

Use the following SPSS Statistics tool to calculate statistical significance for chi-square goodness-of-fit:

Accepted Answer

A)  Descriptives… 
B)  Compare Means… 
C)  Legacy Dialog… 
D)  Crosstabs… 
A)  Descriptives… 
B)  Compare Means… 
C)  Legacy Dialog… 
D)  Crosstabs…

Question 9

The following are associated with chi-square test of independence, except:

Accepted Answer

A)  Row(s). 
B)  Column(s). 
C)  Test variable. 
D)  Nominal. 
A)  Row(s). 
B)  Column(s). 
C)  Test variable. 
D)  Nominal.

Question 10

In SPSS Statistics, the variables in a chi-square test of independence are labeled as:

Accepted Answer

A)  Row(s). 
B)  Column(s). 
C)  Neither A nor B. 
D)  Both A and B. 
A)  Row(s). 
B)  Column(s). 
C)  Neither A nor B. 
D)  Both A and B.

The statistical tool used for a chi-square test of independence is Cross Tabulation.

A chi-square test of independence can be used with data at the ordinal level.

Use the following statistic to determine if the chi-square test of independence calculated a statistically significant difference:

A chi-square test of independence usually involves two variables at the nominal level (though it can also use two ordinal variables).

A chi-square test of independence requires a grouping variable.

SPSS Statistics displays the following outputs for a chi-square test of independence:

In research reports, you need to report the degrees of freedom for the chi-square test of independence along with the frequencies for each category.

Use the following SPSS Statistics tool to calculate statistical significance for chi-square goodness-of-fit:

The following are associated with chi-square test of independence, except:

In SPSS Statistics, the variables in a chi-square test of independence are labeled as:

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Scattergram

Correlation Coefficients: The Pearson R and Spearmans RHO

Simple Linear Regression

The T-Test for a Single Sample Mean

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Filters

Exam 17: Chi-Square Test of Independence

The statistical tool used for a chi-square test of independence is Cross Tabulation.

A chi-square test of independence can be used with data at the ordinal level.

Use the following statistic to determine if the chi-square test of independence calculated a statistically significant difference:

A chi-square test of independence usually involves two variables at the nominal level (though it can also use two ordinal variables).

A chi-square test of independence requires a grouping variable.

SPSS Statistics displays the following outputs for a chi-square test of independence:

In research reports, you need to report the degrees of freedom for the chi-square test of independence along with the frequencies for each category.

Use the following SPSS Statistics tool to calculate statistical significance for chi-square goodness-of-fit:

The following are associated with chi-square test of independence, except:

In SPSS Statistics, the variables in a chi-square test of independence are labeled as:

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Scattergram

Correlation Coefficients: The Pearson R and Spearmans RHO

Simple Linear Regression

The T-Test for a Single Sample Mean

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Filters