Question 1

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Accepted Answer

A) True 
 B)False  False

Question 2

In which of the following situations would it be useful to test for differences between two groups?

Accepted Answer

A)   A retailer wishes to know if customer satisfaction is different between in-store vs. online shoppers.
B)   A beverage company wants to know if a new beverage concept differs between users vs. nonusers of the current brand.
C)   A department store wishes to know the differences between online catalogs vs. mail order catalog shoppers.
D)   A state university ants to know is there is a significant difference in GPA between undergraduate and graduate students.
E)   All of the above situations would benefit from tests for differences between two groups. E

Question 3

A popular approach to measuring the strength of the relationship between two categorical variables is:

Accepted Answer

A)   cross tabulation.
B)   Pearson chi-square test of independence.
C)   Cramer's V.
D)   regression analysis.
E)   Kendall's coefficient of concordance. C

Question 4

Consider the regression equation Y = 5 + 16X1 + 38X2 relating annual expenditures on a particular product Y to X1 and X2, where 
Which of the following is FALSE? The equation suggests

Accepted Answer

A)   An upper class person could be expected on the average to spend $38 per year more than a lower class person on the product.
B)   A middle class person could be expected on the average to spend $16 more per year on the product than a lower class person.
C)   A lower class person could be expected on the average to spend $5 per year on the product.
D)   An upper class person could be expected on the average to spend $22 more per year on the product than a middle class person.
E)   An upper class person could be expected on the average to spend $38 per year on the product.

Question 5

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

Accepted Answer

A) True 
 B)False

Question 6

A researcher is interested in comparing the usage of bank debit cards by consumers in rural (r) and urban (u) areas. Each year for the past five years, she has surveyed 500 individuals (one-half urban, one-half rural) randomly selected from across the United States. She is specifically interested in any differences that may exist between the two groups with regard to usage. The results of the current study indicate that people in urban areas use bank debit cards 12 times per month on average(  ), while those in rural areas use bank cards 10 times per month on average (  ).
-Refer to Exhibit 13.2. Assuming that the standard error of estimate for the difference in means is 1.5, calculate the value of the test statistic that would be used in the comparison of the two means.

Accepted Answer

A)  0.75
B)  1.33
C)  1.88
D)  1.96
E)   None of the above.

Question 7

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

Accepted Answer

A) True 
 B)False

Question 8

A research study involving the research question: "On the basis of a survey of husband-wife households, is there a significant difference between the mean attitude score of husbands and that of wives toward our product?" will involve a:

Accepted Answer

A)   test for a single proportion.
B)   test of two means when samples are independent.
C)   test for a single mean.
D)   test of two means when samples are dependent.
E)   None of the above.

Question 9

In the chi-square analysis, the greater the differences between the observed frequencies and the expected frequencies, the less likely it is that there will be a statistically significant relationship.

Accepted Answer

A) True 
 B)False

Question 10

The value of the product-moment coefficient of correlation ranges from:

Accepted Answer

A)   -1.0 to 0.0.
B)   -1.0 to 1.0.
C)   -0.5 to 0.5.
D)  0.0 to 1.0.
E)   -∞ to ∞.

Question 11

An analyst has a set of normally distributed intervally scaled data resulting from two observations on the same sample of subjects, and he wishes to investigate if there is any difference in these two means. The appropriate statistical procedure is:

Accepted Answer

A)   z-test for difference in two means.
B)   analysis of variance.
C)   paired samples t-test.
D)   chi-square goodness-of-fit test.
E)   regression analysis.

Question 12

When performing cross tabulations, percentages are always calculated in the direction of the:

Accepted Answer

A)   dependent variable.
B)   independent variable.
C)   causal variable.
D)   Both a and b
E)   Both b and c.

Question 13

What conclusion(s) can you make from the following cross tabulation?

Accepted Answer

A)   Having more children increases the divorce rate.
B)   Getting divorced makes a couple have more children.
C)   The more children a person has the more likely s/he is to be divorced.
D)   All of the above can be correctly concluded from the cross-tabulation.
E)   None of the above can be concluded from the cross-tabulation.

Question 14

Cramer's V is scaled to range between:

Accepted Answer

A)  0.0 and 1.0.
B)   -1.0 and 0.0.
C)   -1.0 and 1.0.
D)  0.0 to ∞.
E)   -∞ to ∞.

Question 15

A toy storeowner hypothesizes, at the 95% level of confidence, that parents spend less than $100 on toys per visit to her store. A sample is taken and the hypothesis test shows a z value of -1.65. We accept the hypothesis:

Accepted Answer

A) True 
 B)False

Question 16

Which of the following statements about regression/correlation analysis is FALSE?

Accepted Answer

A)   Correlation analysis involves the measurement of the closeness of the relationship between two or more variables.
B)   Regression analysis involves the derivation of an equation that relates the criterion variable to one or more predictor variables.
C)   Regression analysis can establish the causal relationship between two or more variables.
D)   The regression line minimizes the sum of the squared deviations about the line.
E)   It is much more common to conduct regression analyses using a computer.

Question 17

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a(n) ____________________.

Accepted Answer

The answer of A statistical technique used with a continuous...

Question 18

A gum manufacturer wants to determine whether blue packaging or red packaging is preferred. The company performs a sales test by introducing red packages into a random sample of ten stores and blue packages are introduced in an independent, random sample of ten stores. The technique most appropriate for analyzing the data is:

Accepted Answer

A)   paired sample t-test for means.
B)   Spearman rank-order correlation analysis.
C)   regression analysis.
D)   independent samples t-test for means.
E)   correlation analysis.

Question 19

If you have a significant and very strong (e.g., > 0.90 correlation coefficient), you may assume there is a causal relationship between the two variables.

Accepted Answer

A) True 
 B)False

Question 20

Which statistical technique should you use to answer the question: "Is there a significant relationship between education level (a four-category ordinal variable) and whether or not consumers are aware that Firestone is a brand of tires?"

Accepted Answer

A)   Multiple regression analysis
B)   Pearson correlation coefficient
C)   Chi-square test
D)   Simple regression analysis
E)   None of the above.

Exam 13: Analysis & Interpretation: Multiple Variables Simultaneously

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

In which of the following situations would it be useful to test for differences between two groups?

A popular approach to measuring the strength of the relationship between two categorical variables is:

Consider the regression equation Y = 5 + 16X₁ + 38X₂ relating annual expenditures on a particular product Y to X₁ and X₂, where Which of the following is FALSE? The equation suggests

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

A research study involving the research question: "On the basis of a survey of husband-wife households, is there a significant difference between the mean attitude score of husbands and that of wives toward our product?" will involve a:

In the chi-square analysis, the greater the differences between the observed frequencies and the expected frequencies, the less likely it is that there will be a statistically significant relationship.

The value of the product-moment coefficient of correlation ranges from:

An analyst has a set of normally distributed intervally scaled data resulting from two observations on the same sample of subjects, and he wishes to investigate if there is any difference in these two means. The appropriate statistical procedure is:

When performing cross tabulations, percentages are always calculated in the direction of the:

What conclusion(s) can you make from the following cross tabulation?

Cramer's V is scaled to range between:

A toy storeowner hypothesizes, at the 95% level of confidence, that parents spend less than $100 on toys per visit to her store. A sample is taken and the hypothesis test shows a z value of -1.65. We accept the hypothesis:

Which of the following statements about regression/correlation analysis is FALSE?

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a(n) ____________________.

If you have a significant and very strong (e.g., > 0.90 correlation coefficient), you may assume there is a causal relationship between the two variables.

Which statistical technique should you use to answer the question: "Is there a significant relationship between education level (a four-category ordinal variable) and whether or not consumers are aware that Firestone is a brand of tires?"

Exam 13: Analysis & Interpretation: Multiple Variables Simultaneously

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

In which of the following situations would it be useful to test for differences between two groups?

A popular approach to measuring the strength of the relationship between two categorical variables is:

Consider the regression equation Y = 5 + 16X1 + 38X2 relating annual expenditures on a particular product Y to X1 and X2, where Which of the following is FALSE? The equation suggests

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

A research study involving the research question: "On the basis of a survey of husband-wife households, is there a significant difference between the mean attitude score of husbands and that of wives toward our product?" will involve a:

In the chi-square analysis, the greater the differences between the observed frequencies and the expected frequencies, the less likely it is that there will be a statistically significant relationship.

The value of the product-moment coefficient of correlation ranges from:

An analyst has a set of normally distributed intervally scaled data resulting from two observations on the same sample of subjects, and he wishes to investigate if there is any difference in these two means. The appropriate statistical procedure is:

When performing cross tabulations, percentages are always calculated in the direction of the:

What conclusion(s) can you make from the following cross tabulation?

Cramer's V is scaled to range between:

A toy storeowner hypothesizes, at the 95% level of confidence, that parents spend less than $100 on toys per visit to her store. A sample is taken and the hypothesis test shows a z value of -1.65. We accept the hypothesis:

Which of the following statements about regression/correlation analysis is FALSE?

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a(n) ____________________.

If you have a significant and very strong (e.g., > 0.90 correlation coefficient), you may assume there is a causal relationship between the two variables.

Which statistical technique should you use to answer the question: "Is there a significant relationship between education level (a four-category ordinal variable) and whether or not consumers are aware that Firestone is a brand of tires?"

Consider the regression equation Y = 5 + 16X₁ + 38X₂ relating annual expenditures on a particular product Y to X₁ and X₂, where Which of the following is FALSE? The equation suggests