Question 1

The F-test measures the proportion of variation in the dependent variable explained by the entire model,including all the independent variables taken together.

Accepted Answer

The F-test indicates whether the "entire model"-that is,all independent variables taken together-explain a significant proportion of the variation in the dependent variable.

Question 2

The _______________ is an especially important and useful measure when data contain outliers.
A) mean
B) standard deviation
C) mode
D) median

Accepted Answer

The median is important when data contains outliers,which are values well outside of the range of most of the data.

Question 3

The median is not applicable for
A) nominal variables
B) ordinal variables
C) interval variables
D) a and c

Accepted Answer

Because nominal variables are just classification or categorical data,a median is meaningless.The median can be used for ordinal data or higher (interval and ratio).

Question 4

The _______________ is an appropriate measure of central tendency for interval data and is by far the most widely used measure in all of statistics.
A) mean
B) standard deviation
C) mode
D) median

Accepted Answer

The mean is the most widely used variable and is an appropriate measure of central tendency for interval data.

Question 5

The alternative hypothesis should be stated as a parameter being A) not equal to the value in H₀ B) equal to the value in H₀ C) greater than the value in H₀ D) less than the value in H₀ E) either a, c, or d

Accepted Answer

The alternative hypothesis can be stated in any of the three ways: not equal to,less than,or greater than the value in the null hypothesis.

Question 6

Inferential statistics use probability theory to
A) make statements about the population
B) make statements about a sample
C) describe a sample
D) describe the overall distribution of samples

Accepted Answer

Inferential statistics applies probability theory to makes inferences about a population from a sample.

Question 7

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

Accepted Answer

To get a good feel for the data,is important to conduct a univariate analysis on the available variables within the data.

Question 8

If the significance level for a hypothesis test is set at 0.03,the confidence level of the test would be
A) 0.03
B) 0.09
C) 0.97
D) determined by the researcher

Accepted Answer

The confidence level of the test is 1 - the significance level (F1F1F1S1F1F1F10).

Question 9

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

Accepted Answer

It is just the reverse,predicting a dependent variable based on knowledge of an independent variable.

Question 10

In hypothesis testing,the Greek letter beta ($\beta$ )refers to
A) the null hypothesis
B) the alternative hypothesis
C) Type I error
D) Type II error

Accepted Answer

For Type I error the Greek alpha letter is used; for Type II error the Greek letter beta is used.

Question 11

Type I error occurs when 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

Accepted Answer

Type I error occurs when the null hypothesis is true,but researchers incorrectly conclude that they should reject it.

Question 12

The _______________ is a measure of central tendency appropriate for nominal data.
A) chi-square test
B) variance
C) mode
D) median

Accepted Answer

The mode is the appropriate measure of central tendency for nominal data because the mode is the category that occurs the most often.The chi-square test is an inferential statistical test for nominal data.

Question 13

The appropriate measure of dispersion for nominal data is
A) the standard deviation
B) absolute frequencies
C) relative frequencies
D) both b and c

Accepted Answer

Because nominal data is categorical data,the standard deviation is meaningless.Absolute and relative frequencies are the appropriate measures of dispersion.

Question 14

A researcher will set the maximum tolerable degree of Type I error,which is referred to as the
A) confidence level of the test
B) significance level
C) power of the test
D) standard deviation

Accepted Answer

The significance level is designated by F1F1F1S1F1F1F10 and is the maximum level for Type I error that will be acceptable.

Question 15

In hypothesis testing,the null hypothesis is stated as a population parameter being
A) not equal to a particular value
B) equal to a particular value
C) being greater than a particular value
D) being less than a particular value
E) either a, c, or d

Accepted Answer

The null hypothesis,written as H₀,always states the a population parameter is equal to a certain value.

Question 16

The measures of central tendency include all of the following except A) mean B) standard deviation C) mode D) median

Accepted Answer

Standard deviation is a measure of dispersion.

Question 17

When the total variation of a regression equation has been decomposed into that attributable to the regression,the remainder is attributable to error.

Accepted Answer

Total variation equals variation due to the regression plus unexplained variation,or error.

Question 18

The appropriate measure of dispersion for interval data is
A) the standard deviation
B) absolute frequencies
C) relative frequencies
D) both b and c

Accepted Answer

The standard deviation is the appropriate measure of dispersion for data that is at least interval.

Question 19

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

Accepted Answer

If additional independent variables are added into a regression,r²will always get larger,even if the added variables are meaningless.For this reason,r²-adjusted is used instead.

Question 20

The linear correlation coefficient is scale-dependent,because the scale of the two variables will impact the correction coefficient.Changing one or both scales will change the coefficient.

Accepted Answer

The linear correlation coefficient is sample- and scale-dependent; the sample size and the scale of the variables will affect the coefficient.

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

The F-test measures the proportion of variation in the dependent variable explained by the entire model,including all the independent variables taken together.

The _______________ is an especially important and useful measure when data contain outliers.

The median is not applicable for

The _______________ is an appropriate measure of central tendency for interval data and is by far the most widely used measure in all of statistics.

The alternative hypothesis should be stated as a parameter being

Inferential statistics use probability theory to

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

If the significance level for a hypothesis test is set at 0.03,the confidence level of the test would be

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

In hypothesis testing,the Greek letter beta ( $\beta$ ) refers to

Type I error occurs when

The _______________ is a measure of central tendency appropriate for nominal data.

The appropriate measure of dispersion for nominal data is

A researcher will set the maximum tolerable degree of Type I error,which is referred to as the

In hypothesis testing,the null hypothesis is stated as a population parameter being

The measures of central tendency include all of the following except

When the total variation of a regression equation has been decomposed into that attributable to the regression,the remainder is attributable to error.

The appropriate measure of dispersion for interval data is

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

The linear correlation coefficient is scale-dependent,because the scale of the two variables will impact the correction coefficient.Changing one or both scales will change the coefficient.

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

The F-test measures the proportion of variation in the dependent variable explained by the entire model,including all the independent variables taken together.

The _______________ is an especially important and useful measure when data contain outliers.

The median is not applicable for

The _______________ is an appropriate measure of central tendency for interval data and is by far the most widely used measure in all of statistics.

The alternative hypothesis should be stated as a parameter being

Inferential statistics use probability theory to

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

If the significance level for a hypothesis test is set at 0.03,the confidence level of the test would be

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

In hypothesis testing,the Greek letter beta ( β\betaβ ) refers to

Type I error occurs when

The _______________ is a measure of central tendency appropriate for nominal data.

The appropriate measure of dispersion for nominal data is

A researcher will set the maximum tolerable degree of Type I error,which is referred to as the

In hypothesis testing,the null hypothesis is stated as a population parameter being

The measures of central tendency include all of the following except

When the total variation of a regression equation has been decomposed into that attributable to the regression,the remainder is attributable to error.

The appropriate measure of dispersion for interval data is

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

The linear correlation coefficient is scale-dependent,because the scale of the two variables will impact the correction coefficient.Changing one or both scales will change the coefficient.

In hypothesis testing,the Greek letter beta ( $\beta$ ) refers to

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