Exam 14: Making Use of Associations Tests

There are statistical analyses beyond simple descriptive measures,statistical inference,and differences tests including ________,which determine whether a stable relationship exists between two variables.

(Multiple Choice)

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Question 21

Chi-square analysis assesses the statistical significance of monotonic associations in cross- tabulation tables.

(True/False)

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Question 22

With respect to Chi-square analysis describe observed and expected frequencies.What is the relationship between observed/expected frequencies and the Chi-square statistic?

(Essay)

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Question 23

Associative analyses determine whether stable relationships exist between two variables.

(True/False)

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Question 24

Unlike other types of statistical distributions,the Chi-square distribution's shape is determined by the number of degrees of constriction.

(True/False)

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Question 25

With correlation analysis,each correlation will have a unique significance level.

(True/False)

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Question 26

The correlation coefficient that can be computed between two variables is a measure of the"separation"of the scatter points to the straight line.

(True/False)

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Question 27

Define and discuss Chi-square analysis and its use in cross-tabulation.

(Essay)

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Question 28

A table of Chi-square values contains critical points that determine the break between the acceptance and rejection regions at various levels of significance.

(True/False)

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Question 29

The ________ contains the raw numbers determined from the preliminary tabulation.

(Multiple Choice)

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Question 30

Correlations that fall between the absolute values of ________ generally indicate a"strong"association.

(Multiple Choice)

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Question 31

What correlation coefficient measures the linear relationship between two interval- and/or ratio-scaled variables(scale variables)such as those depicted conceptually by scatter diagrams?

(Multiple Choice)

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Question 32

In the cases of ________,associations may be described with regard to direction.

(Multiple Choice)

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Question 33

What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?

(Multiple Choice)

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Question 34

When the researcher determines that a true relationship does exist in the population by means of the correct statistical test,he or she then establishes its:

(Multiple Choice)

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Question 35

The column percentages table divides the raw frequencies by the column total raw frequency.

(True/False)

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Question 36

Depending on its type,a relationship is usually characterized in three ways: by its presence,direction,and strength of association.Discuss these three ways of characterizing relationships and their meaning relative to association.

(Essay)

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Question 37

The greater the absolute size of the correlation coefficient,the greater is the covariation between the two variables,or the stronger is their relationship.

(True/False)

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Question 38

Any correlation that falls between the absolute value range of ________ is usually considered indicative of a"weak"association between the variables.

(Multiple Choice)

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Question 39

The Chi-square distribution is skewed to the right and the rejection region is always at the right-hand tail of the distribution.

(True/False)

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Question 40

Showing 21 - 40 of 100

There are statistical analyses beyond simple descriptive measures,statistical inference,and differences tests including ________,which determine whether a stable relationship exists between two variables.

Chi-square analysis assesses the statistical significance of monotonic associations in cross- tabulation tables.

With respect to Chi-square analysis describe observed and expected frequencies.What is the relationship between observed/expected frequencies and the Chi-square statistic?

Associative analyses determine whether stable relationships exist between two variables.

Unlike other types of statistical distributions,the Chi-square distribution's shape is determined by the number of degrees of constriction.

With correlation analysis,each correlation will have a unique significance level.

The correlation coefficient that can be computed between two variables is a measure of the"separation"of the scatter points to the straight line.

Define and discuss Chi-square analysis and its use in cross-tabulation.

A table of Chi-square values contains critical points that determine the break between the acceptance and rejection regions at various levels of significance.

The ________ contains the raw numbers determined from the preliminary tabulation.

Correlations that fall between the absolute values of ________ generally indicate a"strong"association.

What correlation coefficient measures the linear relationship between two interval- and/or ratio-scaled variables(scale variables)such as those depicted conceptually by scatter diagrams?

In the cases of ________,associations may be described with regard to direction.

What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?

When the researcher determines that a true relationship does exist in the population by means of the correct statistical test,he or she then establishes its:

The column percentages table divides the raw frequencies by the column total raw frequency.

Depending on its type,a relationship is usually characterized in three ways: by its presence,direction,and strength of association.Discuss these three ways of characterizing relationships and their meaning relative to association.

The greater the absolute size of the correlation coefficient,the greater is the covariation between the two variables,or the stronger is their relationship.

Any correlation that falls between the absolute value range of ________ is usually considered indicative of a"weak"association between the variables.

The Chi-square distribution is skewed to the right and the rejection region is always at the right-hand tail of the distribution.

Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process & Defining the Problem and Research Objectives

Research Design

Secondary Data & Packaged Information

Utilizing Exploratory and Qualitative Research Techniques

Evaluating Survey Data Collection Methods

Understanding Measurement, Developing Questions, and Designing the Questionnaire

Selecting the Sample

Determining the Size of a Sample

Dealing with Fieldwork and Data Quality

Using Basic Descriptive Analysis Performing Population Estimates and Testing Hypotheses

Using Basic Descriptive Analysis, Performing Population Estimates, and Testing Hypotheses

Understanding Regression Analysis Basics

Writing the Research Report

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