Question 1

The z-test is appropriate for interval data when the sample

Accepted Answer

A)  is of any size and the population standard deviation is known 
B)  is small and the population standard deviation is known 
C)  is of any size and the sample standard deviation is known 
D)  is large and the sample standard deviation is known 
A)  is of any size and the population standard deviation is known 
B)  is small and the population standard deviation is known 
C)  is of any size and the sample standard deviation is known 
D)  is large and the sample standard deviation is known

Question 2

Type I error occurs when

Accepted Answer

A)  H0 is true and is rejected 
B)  H0 is true and is not rejected 
C)  H0 if false and is rejected 
D)  H0 is false and is not rejected 
A)  H0 is true and is rejected 
B)  H0 is true and is not rejected 
C)  H0 if false and is rejected 
D)  H0 is false and is not rejected

Question 3

In hypothesis testing,it is very difficult to make both $\alpha$and $\beta$small at the same time.

Accepted Answer

A) True 
 B)False

Question 4

The goal of regression analysis is to predict a value for the independent variable based on knowledge of the dependent variable.

Accepted Answer

A) True 
 B)False

Question 5

The median is robust,but the mean is not.

Accepted Answer

A) True 
 B)False

Question 6

If the coefficient of determination (r2)for a multiple regression is large,then the regression is highly significant.

Accepted Answer

A) True 
 B)False

Question 7

To use the chi-square test with the cross-tabulation of nominal data,expected cell sizes should be _______________ or greater.

Accepted Answer

A)  5 
B)  10 
C)  18 
D)  30 
A)  5 
B)  10 
C)  18 
D)  30

Question 8

Define,and describe the relationship between,SSXY,covariance,the linear correlation coefficient,the coefficient of determination,and r2-adjusted.

Accepted Answer

SS_XY is a distance measure between the X a

Question 9

The total variation,or sum-of-squares,of the dependent variable in a regression equation can be partitioned into

Accepted Answer

A)  variation explained by the independent variable and variation explained by the dependent variable 
B)  variation explained by X and the variation explained by Y 
C)  variations explained by each of the independent variables 
D)  variation explained by regression and variation unexplained by regression 
A)  variation explained by the independent variable and variation explained by the dependent variable 
B)  variation explained by X and the variation explained by Y 
C)  variations explained by each of the independent variables 
D)  variation explained by regression and variation unexplained by regression

Question 10

The appropriate measure of dispersion for nominal data is

Accepted Answer

A)  the standard deviation 
B)  absolute frequencies 
C)  relative frequencies 
D)  both b and c 
A)  the standard deviation 
B)  absolute frequencies 
C)  relative frequencies 
D)  both b and c

Question 11

The standard deviation is appropriate as a measure of dispersion for ordinal data.

Accepted Answer

A) True 
 B)False

Question 12

A first step in almost all marketing research projects is to get a feel for the data by performing a

Accepted Answer

A)  multivariate analysis on most of the available variables 
B)  bivariate analysis on the independent and dependent variable 
C)  linear regression on most of the available variables 
D)  univariate analysis on most of the available variables 
A)  multivariate analysis on most of the available variables 
B)  bivariate analysis on the independent and dependent variable 
C)  linear regression on most of the available variables 
D)  univariate analysis on most of the available variables

Question 13

A Type II error has occurred if the null hypothesis is true and it is rejected.

Accepted Answer

A) True 
 B)False

Question 14

Describe the difference between descriptive and inferential statistics.

Accepted Answer

Descriptive statistics provides summary

Question 15

For questions #20 through 24 relate back to this situation:
A product manager is concerned with whether or not her product's share is equal to 25 percent of the market. A sample of 35 data points yields a sample proportion equal to 38 percent.
-What is the proper hypothesis specification,given the situation outlined above?

Accepted Answer

A)  H0: $\pi$ = 0.38; H1: $\pi$$\neq$00.38 
B)  H0: $\pi$ $\geq$0.38; H1: $\pi$$\lt$0.38 
C)  H0: $\pi$$\le$0.25; H1: $\pi$$\gt$100.25 
D)  H0: $\pi$=0.25; H1: $\pi$$\neq$0.25 
E)  More information is needed to determine the hypotheses. 
A)  H0: $\pi$ = 0.38; H1: $\pi$$\neq$00.38 
B)  H0: $\pi$ $\geq$0.38; H1: $\pi$$\lt$0.38 
C)  H0: $\pi$$\le$0.25; H1: $\pi$$\gt$100.25 
D)  H0: $\pi$=0.25; H1: $\pi$$\neq$0.25 
E)  More information is needed to determine the hypotheses.

The z-test is appropriate for interval data when the sample

Type I error occurs when

In hypothesis testing,it is very difficult to make both $\alpha$ and $\beta$ small at the same time.

The goal of regression analysis is to predict a value for the independent variable based on knowledge of the dependent variable.

The median is robust,but the mean is not.

If the coefficient of determination (r²)for a multiple regression is large,then the regression is highly significant.

To use the chi-square test with the cross-tabulation of nominal data,expected cell sizes should be _______________ or greater.

Define,and describe the relationship between,SS_XY,covariance,the linear correlation coefficient,the coefficient of determination,and r²-adjusted.

The total variation,or sum-of-squares,of the dependent variable in a regression equation can be partitioned into

The appropriate measure of dispersion for nominal data is

The standard deviation is appropriate as a measure of dispersion for ordinal data.

A first step in almost all marketing research projects is to get a feel for the data by performing a

A Type II error has occurred if the null hypothesis is true and it is rejected.

Describe the difference between descriptive and inferential statistics.

The Purpose and Process of Marketing Research

Research Design and Data Sources

Measurement in Marketing Research

Causal Designs and Marketing Experiments

Data Collection: Exploratory and Conclusive Research

Designing Surveys and Data Collection Instruments

Sampling

Multiple Regression: Modeling Multivariate Relationships

Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Multivariate Methods of Marketing Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Advanced Topics, research Frontiers, and Preparing the Final Report

Filters

Exam 8: Data Analysis and Statistical Methods: Univariate and Bivariate Analyses

The z-test is appropriate for interval data when the sample

Type I error occurs when

In hypothesis testing,it is very difficult to make both α\alphaα and β\betaβ small at the same time.

The goal of regression analysis is to predict a value for the independent variable based on knowledge of the dependent variable.

The median is robust,but the mean is not.

If the coefficient of determination (r2)for a multiple regression is large,then the regression is highly significant.

To use the chi-square test with the cross-tabulation of nominal data,expected cell sizes should be _______________ or greater.

Define,and describe the relationship between,SSXY,covariance,the linear correlation coefficient,the coefficient of determination,and r2-adjusted.

The total variation,or sum-of-squares,of the dependent variable in a regression equation can be partitioned into

The appropriate measure of dispersion for nominal data is

The standard deviation is appropriate as a measure of dispersion for ordinal data.

A first step in almost all marketing research projects is to get a feel for the data by performing a

A Type II error has occurred if the null hypothesis is true and it is rejected.

Describe the difference between descriptive and inferential statistics.

The Purpose and Process of Marketing Research

Research Design and Data Sources

Measurement in Marketing Research

Causal Designs and Marketing Experiments

Data Collection: Exploratory and Conclusive Research

Designing Surveys and Data Collection Instruments

Sampling

Multiple Regression: Modeling Multivariate Relationships

Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Multivariate Methods of Marketing Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Advanced Topics, research Frontiers, and Preparing the Final Report

Filters

In hypothesis testing,it is very difficult to make both $\alpha$ and $\beta$ small at the same time.

If the coefficient of determination (r²)for a multiple regression is large,then the regression is highly significant.

Define,and describe the relationship between,SS_XY,covariance,the linear correlation coefficient,the coefficient of determination,and r²-adjusted.