Question 1

Because sample size affects probability levels,never use a measure of significance to mean strength of relationship.

Accepted Answer

A) True 
 B)False  True

Question 2

Larber values of Chi-square indicate bigger differences.

Accepted Answer

A) True 
 B)False  True

Question 3

If you have a 2x2 table and a small number of cases,the best choice of statistic below is:

Accepted Answer

A) Chi-Square Test 
B) Fisher's Exact Test 
C) 2x2 Combinatorial Test 
D) Modified Chi-square Test 
A) Chi-Square Test 
B) Fisher's Exact Test 
C) 2x2 Combinatorial Test 
D) Modified Chi-square Test B

Question 4

Large sample sizes,all other things being equal,generate

Accepted Answer

A) smaller probability values for a Chi-square value 
B) larger Chi-square values 
C) smaller marginal differences in tables 
D) larger marginal differences in tables 
A) smaller probability values for a Chi-square value 
B) larger Chi-square values 
C) smaller marginal differences in tables 
D) larger marginal differences in tables

Question 5

Chi-square gets its name because of the fact that the O - E differences are squared.

Accepted Answer

A) True 
 B)False

Question 6

Chi-square is very sensitive to violations of its assumptions.

Accepted Answer

A) True 
 B)False

Question 7

Degrees of freedom in a Chi-square test refers to the total number of cases divided by the number of cells in a table.

Accepted Answer

A) True 
 B)False

Question 8

Chi-square is a measure of the cumulative differences between what we expect to get and what we really get.

Accepted Answer

A) True 
 B)False

Question 9

Fisher's Exact Test is expressly designed for large samples that Chi-square cannot handle.

Accepted Answer

A) True 
 B)False

Question 10

Nonparametric statistics are called that because they

Accepted Answer

A) are free of assumptions about table parameters 
B) don't make assumptions requiring a specific data distribution 
C) are distribution-free statistics 
D) b and c above 
A) are free of assumptions about table parameters 
B) don't make assumptions requiring a specific data distribution 
C) are distribution-free statistics 
D) b and c above

Question 11

If you have a 2x2 table,the number of degrees of freedom is

Accepted Answer

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

Question 12

Expected values are used in cells because they

Accepted Answer

A) are always different from observed values 
B) are easier to calculate than unexpected values 
C) standardize the cell sizes for the total number of cases in the sample 
D) compensate for unequal row and column marginals 
A) are always different from observed values 
B) are easier to calculate than unexpected values 
C) standardize the cell sizes for the total number of cases in the sample 
D) compensate for unequal row and column marginals

Question 13

Observed frequencies in Chi-square refers to

Accepted Answer

A) the observed computed value of Chi-square as opposed to the value present in tables 
B) the total number of cases observed in each category of the independent variable 
C) the actual number of cases in each table cell 
D) the frequency of occurrence of cells in each of the table variables 
A) the observed computed value of Chi-square as opposed to the value present in tables 
B) the total number of cases observed in each category of the independent variable 
C) the actual number of cases in each table cell 
D) the frequency of occurrence of cells in each of the table variables

Question 14

If a null relationship exists in a crosstabulation table

Accepted Answer

A) there are no differences in the expected values 
B) there are no differences in the observed values 
C) the expected values and observed values are substantially different 
D) the expected values and observed values are essentially equal 
A) there are no differences in the expected values 
B) there are no differences in the observed values 
C) the expected values and observed values are substantially different 
D) the expected values and observed values are essentially equal

Question 15

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a 2x3 crosstabulation table?

Accepted Answer

A) Chi-square 
B) t-test 
C) ANOVA 
D) Fisher's Exact Test 
A) Chi-square 
B) t-test 
C) ANOVA 
D) Fisher's Exact Test

Question 16

The larger the value of chi-square:

Accepted Answer

A) the smaller the difference between the observed and expected frequencies 
B) the larger the difference between the observed and expected frequencies 
C) the less the distribution approaches normality 
D) none of the above 
A) the smaller the difference between the observed and expected frequencies 
B) the larger the difference between the observed and expected frequencies 
C) the less the distribution approaches normality 
D) none of the above

Question 17

Assumptions of the Chi-square test include

Accepted Answer

A) small sample sizes 
B) equal number of cells in the rows and columns 
C) equal marginals 
D) b and c above 
A) small sample sizes 
B) equal number of cells in the rows and columns 
C) equal marginals 
D) b and c above

Question 18

Large sample sizes frequently have significant relationships among variables.

Accepted Answer

A) True 
 B)False

Question 19

The Chi-square test is designed to be used with

Accepted Answer

A) any level of data 
B) nominal-level data 
C) ordinal-level data 
D) interval-level data 
A) any level of data 
B) nominal-level data 
C) ordinal-level data 
D) interval-level data

Question 20

The larger the value of Chi-square value,the smaller the probability.

Accepted Answer

A) True 
 B)False

Exam 11: Testing for Significance: the Chi-Square Test

Because sample size affects probability levels,never use a measure of significance to mean strength of relationship.

Larber values of Chi-square indicate bigger differences.

If you have a 2x2 table and a small number of cases,the best choice of statistic below is:

Large sample sizes,all other things being equal,generate

Chi-square gets its name because of the fact that the O - E differences are squared.

Chi-square is very sensitive to violations of its assumptions.

Degrees of freedom in a Chi-square test refers to the total number of cases divided by the number of cells in a table.

Chi-square is a measure of the cumulative differences between what we expect to get and what we really get.

Fisher's Exact Test is expressly designed for large samples that Chi-square cannot handle.

Nonparametric statistics are called that because they

If you have a 2x2 table,the number of degrees of freedom is

Expected values are used in cells because they

Observed frequencies in Chi-square refers to

If a null relationship exists in a crosstabulation table

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a 2x3 crosstabulation table?

The larger the value of chi-square:

Assumptions of the Chi-square test include

Large sample sizes frequently have significant relationships among variables.

The Chi-square test is designed to be used with

The larger the value of Chi-square value,the smaller the probability.

Introduction to Statistics

Levels of Measurement

Graphical Statistics

Measures of Central Tendency

Measures of Dispersion

Curves and Distributions

Frequency Distributions

Elementary Relationships: Crosstabulation Tables

Hypotheses and Sampling Distributions

Statistical Significance

Testing for Significance in Two Groups: the T-Test

Testing for Significance in Multiple Groups: the Analysis of Variance Statistic

The Concept of Association

Testing for Association: Phi

Testing for Association: Pearsons R and Regression

Doing Real Research: Elementary Multivariate Relationships

Box Plots

Skewness and Kurtosis

Ordinal-Level Tests of Significance

Multiple Comparison Tests

Nominal Level Tests of Association

Ordinal Level Tests of Association

Addendum Probability

Filters