Question 1

A bivariate table in which both variables have three categories has

Accepted Answer

A)  three cells 
B)  six cells 
C)  nine cells 
D)  thirty-three cells 
A)  three cells 
B)  six cells 
C)  nine cells 
D)  thirty-three cells

Question 2

Cell frequencies computed under the assumption that the null hypothesis is true are called

Accepted Answer

A)  observed frequencies 
B)  experimental frequencies 
C)  expected frequencies 
D)  random frequencies 
A)  observed frequencies 
B)  experimental frequencies 
C)  expected frequencies 
D)  random frequencies

Question 3

The row and column marginals for the expected frequencies are always ________ those of the observed frequencies.

Accepted Answer

A)  greater than 
B)  the same as 
C)  less than 
D)  different from 
A)  greater than 
B)  the same as 
C)  less than 
D)  different from

Question 4

One limitation of the Chi square test (and all tests of hypothesis) is that they cannot tell us if relationships between variables are

Accepted Answer

A)  significant 
B)  random 
C)  by chance 
D)  important 
A)  significant 
B)  random 
C)  by chance 
D)  important

Question 5

A researcher reports a $\chi$2 (obtained) of 75.34 ($\chi$ =.05, df = 1, $\chi$2 (critical) = 3.84, N = 13,678). The researcher claims that the relationship is extremely significant. What issue should be raised?

Accepted Answer

A)  degrees of freedom are much too small for a sample this large. 
B)  alpha is too low 
C)  sample size is very large and the actual relationship between the variables might be trivial 
D)  the value for $\chi$2 (critical) is much too low 
A)  degrees of freedom are much too small for a sample this large. 
B)  alpha is too low 
C)  sample size is very large and the actual relationship between the variables might be trivial 
D)  the value for $\chi$2 (critical) is much too low

A bivariate table in which both variables have three categories has

Cell frequencies computed under the assumption that the null hypothesis is true are called

The row and column marginals for the expected frequencies are always ________ those of the observed frequencies.

One limitation of the Chi square test (and all tests of hypothesis) is that they cannot tell us if relationships between variables are

A researcher reports a $\chi$ 2 (obtained) of 75.34 ( $\chi$ =.05, df = 1, $\chi$ 2 (critical) = 3.84, N = 13,678). The researcher claims that the relationship is extremely significant. What issue should be raised?

Introduction

Basic Descriptive Statistics Percentages, Ratios Rates, Tables, Charts Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics Sampling the Sampling Distribution

Hypothesis Testing I the One-Sample Case

Hypothesis Testing II the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Bivariate Association for Nominal- and Ordinal-Level Variables

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and

Filters

Exam 10: Hypothesis Testing Iv Chi Square

A bivariate table in which both variables have three categories has

Cell frequencies computed under the assumption that the null hypothesis is true are called

The row and column marginals for the expected frequencies are always ________ those of the observed frequencies.

One limitation of the Chi square test (and all tests of hypothesis) is that they cannot tell us if relationships between variables are

A researcher reports a χ\chiχ 2 (obtained) of 75.34 ( χ\chiχ =.05, df = 1, χ\chiχ 2 (critical) = 3.84, N = 13,678). The researcher claims that the relationship is extremely significant. What issue should be raised?

Introduction

Basic Descriptive Statistics Percentages, Ratios Rates, Tables, Charts Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics Sampling the Sampling Distribution

Hypothesis Testing I the One-Sample Case

Hypothesis Testing II the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Bivariate Association for Nominal- and Ordinal-Level Variables

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and

Filters

A researcher reports a $\chi$ 2 (obtained) of 75.34 ( $\chi$ =.05, df = 1, $\chi$ 2 (critical) = 3.84, N = 13,678). The researcher claims that the relationship is extremely significant. What issue should be raised?