Question 1

If the row and column marginals of the expected frequencies are not equal to those of the observed frequencies,

Accepted Answer

A) an arithmetic error has occurred. 
B) Yate's correction must be applied. 
C) the null hypothesis must be rejected. 
D) switch to the ANOVA test. 
A) an arithmetic error has occurred. 
B) Yate's correction must be applied. 
C) the null hypothesis must be rejected. 
D) switch to the ANOVA test.

Question 2

An obtained chi square of 10.78 has been calculated.Critical Chi square is 3.841.What should be concluded?

Accepted Answer

A) nothing,information is incomplete 
B) reject the null hypothesis,the variables are not independent 
C) reject the null hypothesis,the variables are independent 
D) fail to reject the null hypothesis 
A) nothing,information is incomplete 
B) reject the null hypothesis,the variables are not independent 
C) reject the null hypothesis,the variables are independent 
D) fail to reject the null hypothesis

Question 3

A bivariate table in which one variable had three categories and the other variable had four categories would have

Accepted Answer

A) four cells. 
B) six cells. 
C) nine cells. 
D) twelve cells. 
A) four cells. 
B) six cells. 
C) nine cells. 
D) twelve cells.

Question 4

Chi square is one of a class of statistics called

Accepted Answer

A) nonparametric. 
B) parametric. 
C) semi-parametriC. 
D) parametrically symmetrical. 
A) nonparametric. 
B) parametric. 
C) semi-parametriC. 
D) parametrically symmetrical.

Question 5

When the null hypothesis in the chi square test for independence is true,there should be

Accepted Answer

A) large difference between the observed frequencies and the expected frequencies. 
B) little difference between the observed frequencies and the expected frequencies. 
C) no difference between the observed frequencies and the marginals. 
D) no difference between the row and the column marginals. 
A) large difference between the observed frequencies and the expected frequencies. 
B) little difference between the observed frequencies and the expected frequencies. 
C) no difference between the observed frequencies and the marginals. 
D) no difference between the row and the column marginals.

Question 6

The value of the chi square test statistic is always

Accepted Answer

A) zero or a positive number. 
B) greater than the number of cells in the bivariate table. 
C) equal to or greater than the critical value. 
D) greater than the degrees of freedom. 
A) zero or a positive number. 
B) greater than the number of cells in the bivariate table. 
C) equal to or greater than the critical value. 
D) greater than the degrees of freedom.

Question 7

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 8

In the context of chi square,variables are independent if

Accepted Answer

A) they are related. 
B) cause and effect can be proved. 
C) the obtained chi square falls in the critical region. 
D) the score of a case on one variable has no effect on the score of the case on the other variable. 
A) they are related. 
B) cause and effect can be proved. 
C) the obtained chi square falls in the critical region. 
D) the score of a case on one variable has no effect on the score of the case on the other variable.

Question 9

Which pattern of cell frequencies in a 2x2 table would indicate that the variables are independent?

Accepted Answer

A) all cell frequencies are exactly the same 
B) there are a different number of cases in each of the four cells 
C) only the cells in the top row of the table have cases in them 
D) there are no cases in any cell 
A) all cell frequencies are exactly the same 
B) there are a different number of cases in each of the four cells 
C) only the cells in the top row of the table have cases in them 
D) there are no cases in any cell

Question 10

In the Chi square test for independence,the null hypothesis and the research hypothesis

Accepted Answer

A) always contradict each other. 
B) always agree with each other. 
C) are never actually stated. 
D) are usually both rejecteD. 
A) always contradict each other. 
B) always agree with each other. 
C) are never actually stated. 
D) are usually both rejecteD.

Question 11

In a research study conducted to determine if arrests were related to the socioeconomic class of the offender,the chi square critical score was 9.488 and the chi square test statistic was 12.2.We can conclude that

Accepted Answer

A) the variables are independent. 
B) being in a certain socioeconomic class causes arrests. 
C) the variables are dependent. 
D) the probability of getting these results by random chance alone is 0.5. 
A) the variables are independent. 
B) being in a certain socioeconomic class causes arrests. 
C) the variables are dependent. 
D) the probability of getting these results by random chance alone is 0.5.

If the row and column marginals of the expected frequencies are not equal to those of the observed frequencies,

An obtained chi square of 10.78 has been calculated.Critical Chi square is 3.841.What should be concluded?

A bivariate table in which one variable had three categories and the other variable had four categories would have

Chi square is one of a class of statistics called

When the null hypothesis in the chi square test for independence is true,there should be

The value of the chi square test statistic is always

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

In the context of chi square,variables are independent if

Which pattern of cell frequencies in a 2x2 table would indicate that the variables are independent?

In the Chi square test for independence,the null hypothesis and the research hypothesis

In a research study conducted to determine if arrests were related to the socioeconomic class of the offender,the chi square critical score was 9.488 and the chi square test statistic was 12.2.We can conclude that

Introduction

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

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 11: Hypothesis Testing Iv: Chi Square

If the row and column marginals of the expected frequencies are not equal to those of the observed frequencies,

An obtained chi square of 10.78 has been calculated.Critical Chi square is 3.841.What should be concluded?

A bivariate table in which one variable had three categories and the other variable had four categories would have

Chi square is one of a class of statistics called

When the null hypothesis in the chi square test for independence is true,there should be

The value of the chi square test statistic is always

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

In the context of chi square,variables are independent if

Which pattern of cell frequencies in a 2x2 table would indicate that the variables are independent?

In the Chi square test for independence,the null hypothesis and the research hypothesis

In a research study conducted to determine if arrests were related to the socioeconomic class of the offender,the chi square critical score was 9.488 and the chi square test statistic was 12.2.We can conclude that

Introduction

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

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters