Question 1

The chi square statistic is a measure of how strong a relationship is between two variables.

Accepted Answer

A) True 
 B)False  False

Question 2

The ___________________ is the actual frequency of occurrences for each category cell.

Accepted Answer

A)  chi square 
B)  observed frequency 
C)  expected frequency 
D)  significance level 
A)  chi square 
B)  observed frequency 
C)  expected frequency 
D)  significance level B

Question 3

A null hypothesis is not used in a chi square test because there is a different logic underlying the test.

Accepted Answer

A) True 
 B)False  False

Question 4

Chi square is often referred to as ________________________.

Accepted Answer

A)  two-way contingency table analysis 
B)  2x2 correlation 
C)  two-way frequency table analysis 
D)  one-way frequency table analysis 
A)  two-way contingency table analysis 
B)  2x2 correlation 
C)  two-way frequency table analysis 
D)  one-way frequency table analysis

Question 5

A researcher is interested in whether or not attendance at a community meeting in the last 6 months (yes or no) is related to voting in the last election (yes or no). What is the appropriate statistical test to address this question?

Accepted Answer

A)  t-test 
B)  ANOVA 
C)  correlation 
D)  chi square 
A)  t-test 
B)  ANOVA 
C)  correlation 
D)  chi square

Question 6

A chi square test determines significance based on whether or not the observed frequencies could occur by chance.

Accepted Answer

A) True 
 B)False

Question 7

All _______________ tests share the assumption of normally distributed population data.

Accepted Answer

A)  statistic 
B)  parametric 
C)  nonparametric 
D)  frequency 
A)  statistic 
B)  parametric 
C)  nonparametric 
D)  frequency

Question 8

The minimum expected frequency score per cell is what?

Accepted Answer

A)  15 
B)  10 
C)  5 
D)  There is no minimum 
A)  15 
B)  10 
C)  5 
D)  There is no minimum

Question 9

If you are examining the relationship between two continuous variables, what would be the appropriate test?

Accepted Answer

A)  Pearson product moment correlation 
B)  Chi square 
C)  t-test 
D)  ANOVA 
A)  Pearson product moment correlation 
B)  Chi square 
C)  t-test 
D)  ANOVA

Question 10

A two-way contingency table analysis is so named because it uses a 2x2 table that cross-tabulates the frequency of the cases within each possible category.

Accepted Answer

A) True 
 B)False

Question 11

The correlation analysis and the chi square analysis are similar because they both _______________.

Accepted Answer

A)  do not assume a normally distributed population 
B)  examine the difference between groups 
C)  rely on frequencies to determine significance 
D)  examine relationships between groups 
A)  do not assume a normally distributed population 
B)  examine the difference between groups 
C)  rely on frequencies to determine significance 
D)  examine relationships between groups

Question 12

What are the similarities and differences between correlation and chi-square?

Accepted Answer

Correlation and chi-square are both stat

Question 13

The chi square analysis is based on the observed and expected _________________ of the observation.

Accepted Answer

A)  distribution 
B)  frequency 
C)  direction 
D)  strength 
A)  distribution 
B)  frequency 
C)  direction 
D)  strength

Question 14

The __________________ is what occurrences would be anticipated if the distribution among the cells is left to chance

Accepted Answer

A)  chi square 
B)  observed frequency 
C)  expected frequency 
D)  significance level 
A)  chi square 
B)  observed frequency 
C)  expected frequency 
D)  significance level

Question 15

Identify a research question that you would address with a chi square analysis. What research design would you suggest to answer this question?

Accepted Answer

One potential research question that cou

Question 16

Chi square examines the relationship between two categorical variables.

Accepted Answer

A) True 
 B)False

Question 17

When using chi square it is important to pay attention to the _______________________.

Accepted Answer

A)  distribution 
B)  t-statistic 
C)  F-statistic 
D)  sample size 
A)  distribution 
B)  t-statistic 
C)  F-statistic 
D)  sample size

Question 18

A chi square analysis is an example of a non-parametric test.

Accepted Answer

A) True 
 B)False

Question 19

Having a small sample size in a chi square test could affect the test's__________________.

Accepted Answer

A)  distribution 
B)  t-statistic 
C)  F-statistic 
D)  validity 
A)  distribution 
B)  t-statistic 
C)  F-statistic 
D)  validity

Question 20

Since there is no assumption of normally distributed data, statistical significance is not used for chi square.

Accepted Answer

A) True 
 B)False

The chi square statistic is a measure of how strong a relationship is between two variables.

The ___________________ is the actual frequency of occurrences for each category cell.

A null hypothesis is not used in a chi square test because there is a different logic underlying the test.

Chi square is often referred to as ________________________.

A researcher is interested in whether or not attendance at a community meeting in the last 6 months (yes or no) is related to voting in the last election (yes or no). What is the appropriate statistical test to address this question?

A chi square test determines significance based on whether or not the observed frequencies could occur by chance.

All _______________ tests share the assumption of normally distributed population data.

The minimum expected frequency score per cell is what?

If you are examining the relationship between two continuous variables, what would be the appropriate test?

A two-way contingency table analysis is so named because it uses a 2x2 table that cross-tabulates the frequency of the cases within each possible category.

The correlation analysis and the chi square analysis are similar because they both _______________.

What are the similarities and differences between correlation and chi-square?

The chi square analysis is based on the observed and expected _________________ of the observation.

The __________________ is what occurrences would be anticipated if the distribution among the cells is left to chance

Identify a research question that you would address with a chi square analysis. What research design would you suggest to answer this question?

Chi square examines the relationship between two categorical variables.

When using chi square it is important to pay attention to the _______________________.

A chi square analysis is an example of a non-parametric test.

Having a small sample size in a chi square test could affect the test's__________________.

Since there is no assumption of normally distributed data, statistical significance is not used for chi square.

When a Practitioner Becomes a Researcher

Research Alignment

Identifying the Focus of the Research

Research Design

Sample Selection

Data Collection

Quantitative Data Preparation and Descriptive Statistics

Hypothesis Testing and Statistical Significance

Comparing Means Between Two Groups

Comparing Means of More Than Two Groups

Bivariate Correlation

Regression Analysis

Qualitative Data Analysis

Writing Reports

Using Research Methods for Continuous Improvement

Filters

Exam 12: Chi-Square Analysis

The chi square statistic is a measure of how strong a relationship is between two variables.

The ___________________ is the actual frequency of occurrences for each category cell.

A null hypothesis is not used in a chi square test because there is a different logic underlying the test.

Chi square is often referred to as ________________________.

A researcher is interested in whether or not attendance at a community meeting in the last 6 months (yes or no) is related to voting in the last election (yes or no). What is the appropriate statistical test to address this question?

A chi square test determines significance based on whether or not the observed frequencies could occur by chance.

All _______________ tests share the assumption of normally distributed population data.

The minimum expected frequency score per cell is what?

If you are examining the relationship between two continuous variables, what would be the appropriate test?

A two-way contingency table analysis is so named because it uses a 2x2 table that cross-tabulates the frequency of the cases within each possible category.

The correlation analysis and the chi square analysis are similar because they both _______________.

What are the similarities and differences between correlation and chi-square?

The chi square analysis is based on the observed and expected _________________ of the observation.

The __________________ is what occurrences would be anticipated if the distribution among the cells is left to chance

Identify a research question that you would address with a chi square analysis. What research design would you suggest to answer this question?

Chi square examines the relationship between two categorical variables.

When using chi square it is important to pay attention to the _______________________.

A chi square analysis is an example of a non-parametric test.

Having a small sample size in a chi square test could affect the test's__________________.

Since there is no assumption of normally distributed data, statistical significance is not used for chi square.

When a Practitioner Becomes a Researcher

Research Alignment

Identifying the Focus of the Research

Research Design

Sample Selection

Data Collection

Quantitative Data Preparation and Descriptive Statistics

Hypothesis Testing and Statistical Significance

Comparing Means Between Two Groups

Comparing Means of More Than Two Groups

Bivariate Correlation

Regression Analysis

Qualitative Data Analysis

Writing Reports

Using Research Methods for Continuous Improvement

Filters