Question 1

The chi-square test of independence compares to.

Accepted Answer

A) sample means; population means 
B) sample marginals; population marginals 
C) observed frequencies; expected frequencies 
D) sample frequencies; population frequencies 
A) sample means; population means 
B) sample marginals; population marginals 
C) observed frequencies; expected frequencies 
D) sample frequencies; population frequencies C

Question 2

A nonparametric statistical test should be used when.

Accepted Answer

A) the population distributions are normal 
B) more than two groups are compared 
C) the values of the independent variable are skewed 
D) the dependent variable represents either nominal or ordinal measurement 
A) the population distributions are normal 
B) more than two groups are compared 
C) the values of the independent variable are skewed 
D) the dependent variable represents either nominal or ordinal measurement D

Question 3

For a two-way contingency table, the degrees of freedom for the chi-square test of independence are defined as.

Accepted Answer

A)  $( r - 1 ) + ( c - 1 )$ 
B)  $( r - 1 ) ( c - 1 )$ 
C)  $\frac { ( r - 1 ) } { ( c - 1 ) }$ 
D)  $( r - 1 ) - ( c - 1 )$ 
A)  $( r - 1 ) + ( c - 1 )$ 
B)  $( r - 1 ) ( c - 1 )$ 
C)  $\frac { ( r - 1 ) } { ( c - 1 ) }$ 
D)  $( r - 1 ) - ( c - 1 )$ B

Question 4

In a 2 × 3 chi-square test of independence, the degrees of freedom are determined by.

Accepted Answer

A)  $( r - 1 ) + ( c - 1 )$ 
B)  $\frac { ( r - 1 ) } { ( c - 1 ) }$ 
C)  $( r - 1 ) ( c - 1 )$ 
D)  $( r - 1 ) - ( c - 1 )$ 
A)  $( r - 1 ) + ( c - 1 )$ 
B)  $\frac { ( r - 1 ) } { ( c - 1 ) }$ 
C)  $( r - 1 ) ( c - 1 )$ 
D)  $( r - 1 ) - ( c - 1 )$

Question 5

Frequencies obtained in a rows-by-columns contingency table assuming the row and column categorizations are independent or unrelated are called frequencies.

Accepted Answer

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

Question 6

If frequency of response is categorized along only one dimension, then which of these statistical tests should be used to analyze the data?

Accepted Answer

A) Chi-square goodness-of-fit test 
B) One-factor between-subjects analysis of variance 
C) tind 
D) Chi-square test of independence 
A) Chi-square goodness-of-fit test 
B) One-factor between-subjects analysis of variance 
C) tind 
D) Chi-square test of independence

Question 7

For a 2 × 2 contingency table, the sampling distribution of the chi-square statistic is based on df.

Accepted Answer

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

Question 8

The statistic used in the Mann-Whitney test is.

Accepted Answer

A) t 
B) F 
C) χ2 
D) U 
A) t 
B) F 
C) χ2 
D) U

Question 9

You obtained a value of χ2 = -10.26 with 2 df. The critical value of χ² with 2 df is 5.99 with alpha equal to .05. In this case you would.

Accepted Answer

A) reject H0 
B) fail to reject H0 
C) know you made a mistake because χ2 cannot be negative 
D) accept H1 
A) reject H0 
B) fail to reject H0 
C) know you made a mistake because χ2 cannot be negative 
D) accept H1

Question 10

The computations of the Mann-Whitney U test are performed on scores representing at least level of measurement.

Accepted Answer

A) nominal 
B) ordinal 
C) interval 
D) ratio 
A) nominal 
B) ordinal 
C) interval 
D) ratio

Question 11

If the results of a study using the chi-square test of independence are summarized as χ2 (1, N = 57) = 1.15, p > .05, then you would know that the χ² was based on.

Accepted Answer

A) the score of 58 participants 
B) a 2 × 2 contingency table 
C) one categorization of responses 
D) either a 3 × 2 or a 2 × 3 contingency table 
A) the score of 58 participants 
B) a 2 × 2 contingency table 
C) one categorization of responses 
D) either a 3 × 2 or a 2 × 3 contingency table

Question 12

If you were to analyze data for a 3 × 4 contingency table, then the critical value of chi- square would be based on degrees of freedom.

Accepted Answer

A) 12 
B) 11 
C) 5 
D) 6 
A) 12 
B) 11 
C) 5 
D) 6

Question 13

If the results of a study using the chi-square goodness-of-fit test are summarized as χ2 (4, N = 120) = 25.95, p < .05, then you would know that the total number of participants used was and the null hypothesis was.

Accepted Answer

A) 121; rejected 
B) 121; not rejected 
C) 120;rejected 
D) 122; rejected 
A) 121; rejected 
B) 121; not rejected 
C) 120;rejected 
D) 122; rejected

Question 14

The Mann-Whitney U test is the nonparametric analog of the.

Accepted Answer

A) trel 
B) two-factor between-subjects analysis of variance 
C) tind 
D) one-factor within-subjects analysis of variance 
A) trel 
B) two-factor between-subjects analysis of variance 
C) tind 
D) one-factor within-subjects analysis of variance

Question 15

The Mann-Whitney U test is appropriate for analyzing data from a design using levels of an independent variable.

Accepted Answer

A) within-subjects; two 
B) within-subjects; three or more 
C) between-subjects; two 
D) between-subjects; three or more 
A) within-subjects; two 
B) within-subjects; three or more 
C) between-subjects; two 
D) between-subjects; three or more

Question 16

Which of the following are compared in a chi-square test of independence?

Accepted Answer

A) Means from two independent groups. 
B) Medians from one group of subjects for two treatment conditions. 
C) Ranked scores for two independent groups. 
D) Observed frequencies and expected frequencies of occurrence of a behavior or event. 
A) Means from two independent groups. 
B) Medians from one group of subjects for two treatment conditions. 
C) Ranked scores for two independent groups. 
D) Observed frequencies and expected frequencies of occurrence of a behavior or event.

Question 17

If the results of a study using the chi-square test of independence are summarized as χ2 (1, N = 100) = 8.32, p < .05, then you would know that the total number of participants used was and the null hypothesis was .

Accepted Answer

A) 99; rejected 
B) 100; not rejected 
C) 100; rejected 
D) 101; rejected 
A) 99; rejected 
B) 100; not rejected 
C) 100; rejected 
D) 101; rejected

Question 18

Nonparametric statistical tests should be used when the.

Accepted Answer

A) assumptions of parametric tests are not met 
B) population distribution is normal 
C) variances of scores are equal in the populations sampled 
D) dependent variable achieves interval measurement 
A) assumptions of parametric tests are not met 
B) population distribution is normal 
C) variances of scores are equal in the populations sampled 
D) dependent variable achieves interval measurement

Question 19

Nonparametric tests also are referred to as free tests.

Accepted Answer

A) distribution 
B) measurement 
C) definition 
D) parameter 
A) distribution 
B) measurement 
C) definition 
D) parameter

Question 20

For a 2 × 3 contingency table, the sampling distribution of the chi-square statistic is based on df.

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 6 
A) 1 
B) 2 
C) 3 
D) 6

The chi-square test of independence compares to.

A nonparametric statistical test should be used when.

For a two-way contingency table, the degrees of freedom for the chi-square test of independence are defined as.

In a 2 × 3 chi-square test of independence, the degrees of freedom are determined by.

Frequencies obtained in a rows-by-columns contingency table assuming the row and column categorizations are independent or unrelated are called frequencies.

If frequency of response is categorized along only one dimension, then which of these statistical tests should be used to analyze the data?

For a 2 × 2 contingency table, the sampling distribution of the chi-square statistic is based on df.

The statistic used in the Mann-Whitney test is.

You obtained a value of χ2 = -10.26 with 2 df. The critical value of χ² with 2 df is 5.99 with alpha equal to .05. In this case you would.

The computations of the Mann-Whitney U test are performed on scores representing at least level of measurement.

If the results of a study using the chi-square test of independence are summarized as χ2 (1, N = 57) = 1.15, p > .05, then you would know that the χ² was based on.

If you were to analyze data for a 3 × 4 contingency table, then the critical value of chi- square would be based on degrees of freedom.

If the results of a study using the chi-square goodness-of-fit test are summarized as χ2 (4, N = 120) = 25.95, p < .05, then you would know that the total number of participants used was and the null hypothesis was.

The Mann-Whitney U test is the nonparametric analog of the.

The Mann-Whitney U test is appropriate for analyzing data from a design using levels of an independent variable.

Which of the following are compared in a chi-square test of independence?

If the results of a study using the chi-square test of independence are summarized as χ2 (1, N = 100) = 8.32, p < .05, then you would know that the total number of participants used was and the null hypothesis was .

Nonparametric statistical tests should be used when the.

Nonparametric tests also are referred to as free tests.

For a 2 × 3 contingency table, the sampling distribution of the chi-square statistic is based on df.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

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Exam 15: Nonparametric Tests

The chi-square test of independence compares to.

A nonparametric statistical test should be used when.

For a two-way contingency table, the degrees of freedom for the chi-square test of independence are defined as.

In a 2 × 3 chi-square test of independence, the degrees of freedom are determined by.

Frequencies obtained in a rows-by-columns contingency table assuming the row and column categorizations are independent or unrelated are called frequencies.

If frequency of response is categorized along only one dimension, then which of these statistical tests should be used to analyze the data?

For a 2 × 2 contingency table, the sampling distribution of the chi-square statistic is based on df.

The statistic used in the Mann-Whitney test is.

You obtained a value of χ2 = -10.26 with 2 df. The critical value of χ² with 2 df is 5.99 with alpha equal to .05. In this case you would.

The computations of the Mann-Whitney U test are performed on scores representing at least level of measurement.

If the results of a study using the chi-square test of independence are summarized as χ2 (1, N = 57) = 1.15, p > .05, then you would know that the χ² was based on.

If you were to analyze data for a 3 × 4 contingency table, then the critical value of chi- square would be based on degrees of freedom.

If the results of a study using the chi-square goodness-of-fit test are summarized as χ2 (4, N = 120) = 25.95, p < .05, then you would know that the total number of participants used was and the null hypothesis was.

The Mann-Whitney U test is the nonparametric analog of the.

The Mann-Whitney U test is appropriate for analyzing data from a design using levels of an independent variable.

Which of the following are compared in a chi-square test of independence?

If the results of a study using the chi-square test of independence are summarized as χ2 (1, N = 100) = 8.32, p < .05, then you would know that the total number of participants used was and the null hypothesis was .

Nonparametric statistical tests should be used when the.

Nonparametric tests also are referred to as free tests.

For a 2 × 3 contingency table, the sampling distribution of the chi-square statistic is based on df.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

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