Question 1

Define the null and alternative hypotheses.Discuss the relationship between the two hypotheses.

Accepted Answer

A null hypothesis is a statement of the

Question 2

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

Accepted Answer

A)  covariance correlation 
B)  product moment correlation 
C)  inverse correlation 
D)  bivariate correlation 
E)  F-statistic 
A)  covariance correlation 
B)  product moment correlation 
C)  inverse correlation 
D)  bivariate correlation 
E)  F-statistic

Question 3

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βᵢs)are nonzero.

Accepted Answer

A) True 
 B)False

Question 4

________ is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable.

Accepted Answer

A)  Product moment correlation 
B)  Standard regression 
C)  Factor analysis 
D)  Multiple regression 
E)  Canonical correlation 
A)  Product moment correlation 
B)  Standard regression 
C)  Factor analysis 
D)  Multiple regression 
E)  Canonical correlation

Question 5

A z-test is a hypothesis test using the standard normal distribution.

Accepted Answer

A) True 
 B)False

Question 6

In a short essay,discuss t-test,the t statistic,and the t distribution.

Accepted Answer

A t-test is a univariate hypothes

Question 7

Which statement is NOT true concerning the t distribution?

Accepted Answer

A)  Compared to the normal distribution, the t distribution has more area in the tails and less in the center. 
B)  As the number of degrees of freedom increases, the t distribution approaches the normal distribution. 
C)  The t distributions are skewed to the left. 
D)  The population variance is unknown and is estimated by the sample variance s². 
E)  All are true. 
A)  Compared to the normal distribution, the t distribution has more area in the tails and less in the center. 
B)  As the number of degrees of freedom increases, the t distribution approaches the normal distribution. 
C)  The t distributions are skewed to the left. 
D)  The population variance is unknown and is estimated by the sample variance s². 
E)  All are true.

Question 8

The strength of association is measured by the ________.

Accepted Answer

A)  coefficient of determination 
B)  regression equation 
C)  correlation coefficient 
D)  F factor 
E)  F-statistic 
A)  coefficient of determination 
B)  regression equation 
C)  correlation coefficient 
D)  F factor 
E)  F-statistic

Question 9

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

Accepted Answer

A) True 
 B)False

Question 10

The term used to denote the standardized regression coefficient is called the ________.

Accepted Answer

A)  alpha coefficient 
B)  beta coefficient 
C)  gamma coefficient 
D)  theta coefficient 
E)  pi coefficient 
A)  alpha coefficient 
B)  beta coefficient 
C)  gamma coefficient 
D)  theta coefficient 
E)  pi coefficient

Question 11

The most popular parametric test is the t-test conducted for examining hypotheses about means.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following statistics indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y?

Accepted Answer

A)  covariance correlation 
B)  inverse correlation 
C)  product moment correlation 
D)  multiple regression 
E)  F-statistic 
A)  covariance correlation 
B)  inverse correlation 
C)  product moment correlation 
D)  multiple regression 
E)  F-statistic

Question 13

________ tests provide inferences for making statements about the means of parent populations.

Accepted Answer

A)  Non-parametric tests 
B)  Parametric tests 
C)  Parallel tests 
D)  Regression tests 
E)  Parent population tests 
A)  Non-parametric tests 
B)  Parametric tests 
C)  Parallel tests 
D)  Regression tests 
E)  Parent population tests

Question 14

In a short essay,define regression analysis and discuss ways in which regression analysis can be used.

Accepted Answer

Regression analysisis a powerful

Question 15

For a large sample size,the t distribution approaches the normal distribution.Thus,the t-test and the z-test are equivalent.

Accepted Answer

A) True 
 B)False

Question 16

According to the text,hypotheses related to differences in the population means can be tested using the t distribution.

Accepted Answer

A) True 
 B)False

Question 17

According to the text,the beta coefficient is also called the ________.

Accepted Answer

A)  beta factor 
B)  beta variable 
C)  beta element 
D)  beta weight 
E)  beta carotene 
A)  beta factor 
B)  beta variable 
C)  beta element 
D)  beta weight 
E)  beta carotene

Question 18

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

Accepted Answer

A) True 
 B)False

Question 19

An equation used to explain the results of multiple regression analysis is called the multiple regression model.

Accepted Answer

A) True 
 B)False

Question 20

The two sets of degrees of freedom on which the F distribution depends are the degrees of freedom in the numerator and the degrees of freedom in the denominator.

Accepted Answer

A) True 
 B)False

Define the null and alternative hypotheses.Discuss the relationship between the two hypotheses.

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βᵢs)are nonzero.

________ is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable.

A z-test is a hypothesis test using the standard normal distribution.

In a short essay,discuss t-test,the t statistic,and the t distribution.

Which statement is NOT true concerning the t distribution?

The strength of association is measured by the ________.

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

The term used to denote the standardized regression coefficient is called the ________.

The most popular parametric test is the t-test conducted for examining hypotheses about means.

Which of the following statistics indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y?

________ tests provide inferences for making statements about the means of parent populations.

In a short essay,define regression analysis and discuss ways in which regression analysis can be used.

For a large sample size,the t distribution approaches the normal distribution.Thus,the t-test and the z-test are equivalent.

According to the text,hypotheses related to differences in the population means can be tested using the t distribution.

According to the text,the beta coefficient is also called the ________.

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

An equation used to explain the results of multiple regression analysis is called the multiple regression model.

The two sets of degrees of freedom on which the F distribution depends are the degrees of freedom in the numerator and the degrees of freedom in the denominator.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design, secondary and Syndicated Data

Qualitative Research

Survey and Observation

Experimentation and Causal Research

Measurement and Scaling

Questionnaire and Form Design

Sampling: Design and Procedures

Data Collection and Preparation

Data Analysis: Frequency Distribution, hypothesis Testing, and Cross-Tabulation

Report Preparation and Presentation

Filters

Exam 12: Data Analysis: Hypothesis Testing Related to Differences, correlation, and Regression

Define the null and alternative hypotheses.Discuss the relationship between the two hypotheses.

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βᵢs)are nonzero.

________ is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable.

A z-test is a hypothesis test using the standard normal distribution.

In a short essay,discuss t-test,the t statistic,and the t distribution.

Which statement is NOT true concerning the t distribution?

The strength of association is measured by the ________.

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

The term used to denote the standardized regression coefficient is called the ________.

The most popular parametric test is the t-test conducted for examining hypotheses about means.

Which of the following statistics indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y?

________ tests provide inferences for making statements about the means of parent populations.

In a short essay,define regression analysis and discuss ways in which regression analysis can be used.

For a large sample size,the t distribution approaches the normal distribution.Thus,the t-test and the z-test are equivalent.

According to the text,hypotheses related to differences in the population means can be tested using the t distribution.

According to the text,the beta coefficient is also called the ________.

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

An equation used to explain the results of multiple regression analysis is called the multiple regression model.

The two sets of degrees of freedom on which the F distribution depends are the degrees of freedom in the numerator and the degrees of freedom in the denominator.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design, secondary and Syndicated Data

Qualitative Research

Survey and Observation

Experimentation and Causal Research

Measurement and Scaling

Questionnaire and Form Design

Sampling: Design and Procedures

Data Collection and Preparation

Data Analysis: Frequency Distribution, hypothesis Testing, and Cross-Tabulation

Report Preparation and Presentation

Filters