Question 1

Application of the chi-square test requires computation of a(n)_____ for each cell under the assumption of no relationship between the two variables.

Accepted Answer

A) expected frequency 
B) observed frequency 
C) mean 
D) standard error 
A) expected frequency 
B) observed frequency 
C) mean 
D) standard error

Question 2

A correct example of a null hypothesis is stated: Ho: Gender and political party identification are unrelated in the sample.

Accepted Answer

A) True 
 B)False

Question 3

Which of the following occurs when using Yates' correction procedure?

Accepted Answer

A) The power of the chi-square test increases. 
B) The degrees of freedom are further reduced. 
C) The power of the chi-square is reduced. 
D) None of these 
A) The power of the chi-square test increases. 
B) The degrees of freedom are further reduced. 
C) The power of the chi-square is reduced. 
D) None of these

Question 4

Probably the most common index of the strength of the relationship between two variables in a contingency table 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).

Accepted Answer

A) True 
 B)False

Question 5

The question addressed by the goodness-of-fit test is whether a distribution of frequencies across categories for a variable in a population are distributed in a specified manner.

Accepted Answer

A) True 
 B)False

Application of the chi-square test requires computation of a(n)_____ for each cell under the assumption of no relationship between the two variables.

A correct example of a null hypothesis is stated: H_o: Gender and political party identification are unrelated in the sample.

Which of the following occurs when using Yates' correction procedure?

The question addressed by the goodness-of-fit test is whether a distribution of frequencies across categories for a variable in a population are distributed in a specified manner.

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

Application of the chi-square test requires computation of a(n)_____ for each cell under the assumption of no relationship between the two variables.

A correct example of a null hypothesis is stated: Ho: Gender and political party identification are unrelated in the sample.

Which of the following occurs when using Yates' correction procedure?

The question addressed by the goodness-of-fit test is whether a distribution of frequencies across categories for a variable in a population are distributed in a specified manner.

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

A correct example of a null hypothesis is stated: H_o: Gender and political party identification are unrelated in the sample.