Question 1

The t statistic is calculated by assuming that all of the following exists EXCEPT that the ________.

Accepted Answer

A) variable is normally distributed 
B) mean is known 
C) population variance is estimated from the sample 
D) sample size is large 
E) All are assumptions used with the t statistic. 
A) variable is normally distributed 
B) mean is known 
C) population variance is estimated from the sample 
D) sample size is large 
E) All are assumptions used with the t statistic.

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

________ involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

Accepted Answer

A) Correlation analysis 
B) Significance testing 
C) Regression analysis 
D) Factor analysis 
E) Residual analysis 
A) Correlation analysis 
B) Significance testing 
C) Regression analysis 
D) Factor analysis 
E) Residual analysis

Question 4

Multiple regression 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) True 
 B)False

Question 5

In a short essay, list at least three statements that exhibit a single variable against a known or given standard.

Accepted Answer

a. The market share for the new product

Question 6

Which of the following is the first step in hypothesis testing based on the t statistic?

Accepted Answer

A) Select the appropriate formula for the t statistic. 
B) Take one or two samples and compute the mean. 
C) Select a significance level α for testing. 
D) Refer to statistical tables. 
E) Formulate the null (H₀)and the alternative (H₁)hypotheses. 
A) Select the appropriate formula for the t statistic. 
B) Take one or two samples and compute the mean. 
C) Select a significance level α for testing. 
D) Refer to statistical tables. 
E) Formulate the null (H₀)and the alternative (H₁)hypotheses.

Question 7

The ________ coefficient is the slope obtained by the regression of y on x when the data are standardized.

Accepted Answer

A) random regression 
B) standardized regression 
C) bipolar regression 
D) alternate regression 
E) alpha 
A) random regression 
B) standardized regression 
C) bipolar regression 
D) alternate regression 
E) alpha

Question 8

The F statistic is computed as the ratio of two sample means.

Accepted Answer

A) True 
 B)False

Question 9

The product moment correlation is also referred to as all of the following EXCEPT ________.

Accepted Answer

A) simple correlation 
B) bivariate correlation 
C) correlation coefficient 
D) Pearson correlation 
E) F-statistic 
A) simple correlation 
B) bivariate correlation 
C) correlation coefficient 
D) Pearson correlation 
E) F-statistic

Question 10

Regression analysis is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

Accepted Answer

A) True 
 B)False

Question 11

The F statistic is computed as the ratio of two sample variances.

Accepted Answer

A) True 
 B)False

Question 12

A procedure for deriving a mathematical relationship, in the form of an equation, between a single metric dependent variable and a single metric independent variable is called univariate regression.

Accepted Answer

A) True 
 B)False

Question 13

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known)and the population variance is estimated from the sample.

Accepted Answer

A) F statistic 
B) t statistic 
C) z statistic 
D) all of the above 
E) none of the above 
A) F statistic 
B) t statistic 
C) z statistic 
D) all of the above 
E) none of the above

Question 14

Examples of hypotheses related to paired samples include all of the following EXCEPT ________.

Accepted Answer

A) shoppers consider brand name to be more important than price while purchasing fashion clothing 
B) households spend more money on pizza than they do on hamburgers 
C) the proportion of households who subscribe to a daily newspaper exceeds the proportion subscribing to magazines 
D) the new service plan will be preferred by at least 70 percent of the customers 
E) the proportion of a bank's customers who have a checking account exceeds the proportion who have a savings account 
A) shoppers consider brand name to be more important than price while purchasing fashion clothing 
B) households spend more money on pizza than they do on hamburgers 
C) the proportion of households who subscribe to a daily newspaper exceeds the proportion subscribing to magazines 
D) the new service plan will be preferred by at least 70 percent of the customers 
E) the proportion of a bank's customers who have a checking account exceeds the proportion who have a savings account

Question 15

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

Accepted Answer

A) Bivariate regression 
B) Standard deviation 
C) Standard error of the mean 
D) Analysis of variance 
E) Functional linear analysis 
A) Bivariate regression 
B) Standard deviation 
C) Standard error of the mean 
D) Analysis of variance 
E) Functional linear analysis

Question 16

The ________ is a symmetric bell-shaped distribution that is useful for small sample testing.

Accepted Answer

A) F distribution 
B) p distribution 
C) t distribution 
D) z distribution 
E) chi-square distribution 
A) F distribution 
B) p distribution 
C) t distribution 
D) z distribution 
E) chi-square distribution

Question 17

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 18

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the ________.

Accepted Answer

A) coefficient of multiple determination 
B) variance 
C) standard error of the mean 
D) standard deviation 
E) squared deviation 
A) coefficient of multiple determination 
B) variance 
C) standard error of the mean 
D) standard deviation 
E) squared deviation

Question 19

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

Accepted Answer

A) F-test 
B) p-test 
C) t-test 
D) z-test 
E) parametric test 
A) F-test 
B) p-test 
C) t-test 
D) z-test 
E) parametric test

Question 20

In many marketing research applications, the observations for two groups are not selected from independent samples. Rather, the observations relate to ________ in that the two sets of observations relate to the same respondents.

Accepted Answer

A) distributed samples 
B) independent samples 
C) paired samples 
D) random samples 
E) divergent samples 
A) distributed samples 
B) independent samples 
C) paired samples 
D) random samples 
E) divergent samples

The t statistic is calculated by assuming that all of the following exists EXCEPT that the ________.

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

________ involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

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

In a short essay, list at least three statements that exhibit a single variable against a known or given standard.

Which of the following is the first step in hypothesis testing based on the t statistic?

The ________ coefficient is the slope obtained by the regression of y on x when the data are standardized.

The F statistic is computed as the ratio of two sample means.

The product moment correlation is also referred to as all of the following EXCEPT ________.

Regression analysis is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

The F statistic is computed as the ratio of two sample variances.

A procedure for deriving a mathematical relationship, in the form of an equation, between a single metric dependent variable and a single metric independent variable is called univariate regression.

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known)and the population variance is estimated from the sample.

Examples of hypotheses related to paired samples include all of the following EXCEPT ________.

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

The ________ is a symmetric bell-shaped distribution that is useful for small sample testing.

Which statement is NOT true concerning the t distribution?

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the ________.

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

In many marketing research applications, the observations for two groups are not selected from independent samples. Rather, the observations relate to ________ in that the two sets of observations relate to the same respondents.

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

The t statistic is calculated by assuming that all of the following exists EXCEPT that the ________.

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

________ involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

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

In a short essay, list at least three statements that exhibit a single variable against a known or given standard.

Which of the following is the first step in hypothesis testing based on the t statistic?

The ________ coefficient is the slope obtained by the regression of y on x when the data are standardized.

The F statistic is computed as the ratio of two sample means.

The product moment correlation is also referred to as all of the following EXCEPT ________.

Regression analysis is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

The F statistic is computed as the ratio of two sample variances.

A procedure for deriving a mathematical relationship, in the form of an equation, between a single metric dependent variable and a single metric independent variable is called univariate regression.

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known)and the population variance is estimated from the sample.

Examples of hypotheses related to paired samples include all of the following EXCEPT ________.

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

The ________ is a symmetric bell-shaped distribution that is useful for small sample testing.

Which statement is NOT true concerning the t distribution?

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the ________.

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

In many marketing research applications, the observations for two groups are not selected from independent samples. Rather, the observations relate to ________ in that the two sets of observations relate to the same respondents.

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