Categorical Data and Hypotheses MCQs
Categorical Data and Hypotheses MCQs
Welcome to MCQss.com's collection of multiple-choice questions (MCQs) focusing on categorical data and hypotheses in statistics. This page aims to enhance your understanding of the concepts and techniques related to analyzing categorical data and conducting hypothesis tests.
Hypothesis testing is a fundamental statistical procedure used to make inferences about population parameters based on sample data. These MCQs will explore different types of hypotheses, such as null and alternative hypotheses, as well as the steps involved in hypothesis testing, including formulating research questions, selecting appropriate test statistics, determining significance levels, and interpreting p-values.
These MCQs are designed to support students, researchers, and professionals in the field of statistics, data analysis, social sciences, or any discipline where categorical data analysis and hypothesis testing are relevant. Whether you are learning about categorical data analysis for the first time or seeking to strengthen your understanding, these MCQs provide a valuable resource for self-assessment and learning.
Expand your proficiency in categorical data analysis and hypothesis testing by exploring and answering these MCQs. Enhance your knowledge of the concepts, techniques, and applications of categorical data analysis and hypothesis testing in various research scenarios.
1: Tests the null hypothesis that two _____ -level variables are independent refers to Chi-Square Test of Independence.
A. Ordinal
B. Nominal
C. Interval
D. Both a and b
2: Total frequencies for the variable displayed on the column of a cross-tabulation table refers to_____
A. Column Frequency
B. Column Marginal frequency
C. Expected Frequency
D. Both a and b
3: Contingency Coefficient is a statistical measure of association that quantifies the strength or magnitude of a relationship between two _____-level variables.
A. Nominal
B. Ordinal
C. Interval
D. None of these
4: The Contingency Table shows the joint distribution of two _____ variables. A contingency table is defined by the number of rows and the number of columns it has. A contingency table with 3 rows and 2 columns is a “3 by 2” contingency table. Also called a cross-tabulation table.
A. Discrete
B. Continuous
C. Categorical
D. Both a and b
5: Statistical measure of association that quantifies the strength or magnitude of a relationship between two _____-level variables is known as Cramer’s V.
A. Nominal
B. Ordinal
C. Interval
D. None of these
6: Joint frequency distribution we would expect to see if the two categorical variables were _____ of each other refers to expected frequencies.
A. Dependent
B. Independent
C. Interdependent
D. None of these
7: Statistical measure of association that quantifies the strength or magnitude of a relationship between two ordinal-level variables is known as _____
A. Goodman Gamma
B. Kruskal’s Gamma
C. Yule’s Q
D. All of these
8: For two categorical variables, the intersection of two values or categories is known as Joint Frequency Distribution.
A. True
B. False
9: Lambda is a statistical measure of association that quantifies the strength or magnitude of a relationship between two _____-level variables.
A. Nominal
B. Ordinal
C. Interval
D. All of these
10: Measures of Association refers to Statistics that inform us about the ______ of the relationship between two variables.
A. Strength
B. Magnitude
C. Direction
D. All of these
11: An increase in one variable is related to a increase in the other is known as Negative Relationship.
A. True
B. False
12: Joint distribution of two categorical variables that we actually observed in our sample data refer to _____
A. Observed Frequencies
B. Expected Frequencies
C. Both
D. None
13: Percentage Differences is the way to examine the _____ relationship in a contingency table.
A. Univariate
B. Bivariate
C. Both
D. None
14: Positive Relationship is an increase in one variable that is related to _____in the other.
A. Increase
B. Decrease
C. No Effect
D. Both a and b
15: PRE is a statistics that tells us how much we can reduce prediction errors by knowing the value of _____ variable.
A. Dependent
B. Independent
C. Continuous
D. Both a and b
16: Total frequencies for the categories of a variable displayed in the rows of a cross-tabulation table refer to _____
A. Row Marginal
B. Row Frequency
C. Row variable
D. Both a and b
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Categorical Data and Hypotheses MCQs
