Chi-Square Analysis of Contingency Tables MCQs

Chi-Square Analysis of Contingency Tables MCQs

Welcome to MCQss.com, your go-to resource for multiple-choice questions on Chi-Square Analysis of Contingency Tables. Chi-Square Analysis is a powerful statistical method used to examine the association between two categorical variables.

On this page, you will find a diverse set of multiple-choice questions that delve into the nuances of Chi-Square Analysis of Contingency Tables. These questions cover various aspects, including expected frequencies, degrees of freedom, calculation of the test statistic, hypothesis testing for independence, and interpretation of results.

1: ______________ is a table in which each row corresponds to group membership on one categorical variable.

A.   Marginal Frequencies

B.   Contingency Table

C.   Contingency

D.   Row Percentage

2: In a contingency table, these are the total numbers of cases in each row or each column, obtained by summing cell frequencies within each row or column is known as:

A.   Marginal Frequencies

B.   Contingency Table

C.   Contingency

D.   Row Percentage

3: A row percentage for a cell in a contingency table is found by dividing the cell n by the total number of cases in that row is called _________ .

A.   Marginal Frequencies

B.   Contingency Table

C.   Contingency

D.   Row Percentage

4: A Y variable is contingent on an X variable if scores on the Y variable are predictable to some extent from scores on the X variable is known as:

A.   Marginal Frequencies

B.   Contingency Table

C.   Contingency

D.   Row Percentage

5: A column percentage for a cell in a contingency table is found by dividing the cell n by the total number of cases in that column.

A.   True

B.   False

6: The overall probability of some outcome (such as survival vs. death) for the entire sample is known as:

A.   Conditional Probability

B.   Unconditional Probability

C.   Margin of Error

D.   Cramer’s V

7: A conditional probability is the probability of an outcome on one variable.

A.   True

B.   False

8: Surveys or polls of attitudes or voter intentions often report results in terms of sample proportions called _____________ .

A.   Conditional Probability

B.   Unconditional Probability

C.   Margin of Error

D.   Cramer’s V

9: ___________ is a correlation (also an effect size) that indexes the strength of association between scores on two true dichotomous variables.

A.   Cramer’s V

B.   Phi Coefficient (φ)

C.   Odds Ratio

D.   None of these

10: For a 2 × 2 table, Cramer’s V is equivalent to the absolute value of the ϕ coefficient and can range from ____________ .

A.   0 to +1

B.   -1 to 0

C.   -1 to +1

D.   None of these

11: An odds ratio is a ratio of the odds for members of two different groups, often used to summarize information about outcomes when the outcome variable is a true dichotomy is known as:

A.   Cramer’s V

B.   Phi Coefficient (φ)

C.   Odds Ratio

D.   None of these