Question 1

The Chi-square test investigates the null hypothesis that two ______.

Accepted Answer

A)  nominal- or ordinal-level variables are independent 
B)  ordinal- interval-level variables are independent 
C)  nominal- interval-level variables are independent 
D)  nominal- ratio-level variables are independent 
A)  nominal- or ordinal-level variables are independent 
B)  ordinal- interval-level variables are independent 
C)  nominal- interval-level variables are independent 
D)  nominal- ratio-level variables are independent

Question 2

The researcher calculated the $\chi$2 comparing people's feelings of safety and whether they or not they felt the police did a good job. If the null hypotheses are not rejected, which of the following would be the most appropriate conclusion?

Accepted Answer

A)  There is no difference between people who are afraid and if they are satisfied with police. 
B)  The expected frequencies differed significantly from the observed frequencies. 
C)  The was a small effect between the expected and observed frequencies. 
D)  The groups are not all equal to each other. 
A)  There is no difference between people who are afraid and if they are satisfied with police. 
B)  The expected frequencies differed significantly from the observed frequencies. 
C)  The was a small effect between the expected and observed frequencies. 
D)  The groups are not all equal to each other.

Question 3

The contingency coefficient as a measure of association is appropriate for ______.

Accepted Answer

A)  nominal-level variables in any kind of table 
B)  ratio-level variables in a 2x2 table 
C)  ratio-level variables in any kind of table 
D)  nominal-level variables in a 2x2 table only 
A)  nominal-level variables in any kind of table 
B)  ratio-level variables in a 2x2 table 
C)  ratio-level variables in any kind of table 
D)  nominal-level variables in a 2x2 table only

Question 4

One disadvantage of the contingency coefficient is that ______.

Accepted Answer

A)  a perfect relationship may be greater than 1.0 
B)  a perfect relationship may be lower than 1.0 
C)  a perfect relationship may be twice as large as 1.0 
D)  it cannot estimate a perfect relationship 
A)  a perfect relationship may be greater than 1.0 
B)  a perfect relationship may be lower than 1.0 
C)  a perfect relationship may be twice as large as 1.0 
D)  it cannot estimate a perfect relationship

Question 5

Which of the following is the correct equation to calculate the degrees of freedom in a Chi-square test?

Accepted Answer

A)  $(\# \text { of rows - 2) } *(\text { \#of columns - 2) }$ 
B)  $(\# o f \text { rows }-1) *(\# \text { of columns - 1) }$ 
C)  $(\# o f \text { rows - 2) }+(\# \text { of columns }-2)$ 
D)  $(\# \text { of rows }-1)+(\# \text { of columns }-1)$ 
A)  $(\# \text { of rows - 2) } *(\text { \#of columns - 2) }$ 
B)  $(\# o f \text { rows }-1) *(\# \text { of columns - 1) }$ 
C)  $(\# o f \text { rows - 2) }+(\# \text { of columns }-2)$ 
D)  $(\# \text { of rows }-1)+(\# \text { of columns }-1)$

The Chi-square test investigates the null hypothesis that two ______.

The researcher calculated the $\chi$ ²comparing people's feelings of safety and whether they or not they felt the police did a good job. If the null hypotheses are not rejected, which of the following would be the most appropriate conclusion?

The contingency coefficient as a measure of association is appropriate for ______.

One disadvantage of the contingency coefficient is that ______.

Which of the following is the correct equation to calculate the degrees of freedom in a Chi-square test?

The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff

Levels of Measurement and Aggregation

Data Visualization Techniques: Ways of Understanding Data Distributions

Measures of Central Tendency

Measures of Dispersion

Probability, Probability Distributions, and an Introduction to Inferential Statistics

Point Estimation and Confidence Intervals

From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

Hypothesis Tests Involving Two Population Means or Proportions

Hypothesis Involving Three or More Population Means: Analysis of Variance

Bivariate Correlation and Regression

Controlling for a Third Variable: Multiple OlS Regression

Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Filters

Exam 9: Testing Hypotheses With Categorical Data

The Chi-square test investigates the null hypothesis that two ______.

The researcher calculated the χ\chiχ 2 comparing people's feelings of safety and whether they or not they felt the police did a good job. If the null hypotheses are not rejected, which of the following would be the most appropriate conclusion?

The contingency coefficient as a measure of association is appropriate for ______.

One disadvantage of the contingency coefficient is that ______.

Which of the following is the correct equation to calculate the degrees of freedom in a Chi-square test?

The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff

Levels of Measurement and Aggregation

Data Visualization Techniques: Ways of Understanding Data Distributions

Measures of Central Tendency

Measures of Dispersion

Probability, Probability Distributions, and an Introduction to Inferential Statistics

Point Estimation and Confidence Intervals

From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

Hypothesis Tests Involving Two Population Means or Proportions

Hypothesis Involving Three or More Population Means: Analysis of Variance

Bivariate Correlation and Regression

Controlling for a Third Variable: Multiple OlS Regression

Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Filters

The researcher calculated the $\chi$ ²comparing people's feelings of safety and whether they or not they felt the police did a good job. If the null hypotheses are not rejected, which of the following would be the most appropriate conclusion?