CH 13

Question 1

A nominal variable requires that the researcher compare:
- Means.
- Medians
- Percentages.
- Modes.

Answer 1

Percentages

Question 2

A researcher can test the null hypothesis that no differences exist between the two group means (or percentages) by using what type of test?

Chi-square test

Differences test

Confidence interval test

Spearman correlation

Answer 2

Differences Test

Question 3

A researcher has two percentages and wants to know if the percentages are statistically different. The researcher calculates the z value and finds that it is 4.21. This means that the two percentages:

Are the same.

Are not statistically different.

Have a 421 percent chance of not being different.

Are statistically different.

Answer 3

Are not statistically different.

Question 4

A scale variable requires comparing which of the following?

Percentages

Modes

Means

Medians

Answer 4

Means

Question 5

A(n) ________ is one that a marketing manager can potentially use as a basis for marketing decisions.

unconfirmed difference

meaningful difference

marginal difference

suspected difference

Answer 5

meaningful difference

Question 6

A(n) __________ is that there is a true difference between two groups’ population parameters.

null parameter

alternative hypothesis

null hypothesis

null alternative hypothesis

Answer 6

alternative hypothesis

Question 7

ANOVA (analysis of variance) is an investigation of the differences between the group means to ascertain whether:

Sampling errors or true population differences explain their failure to be equal.

Sampling errors explain the failure to be equal.

Sampling errors or true population differences explain their true equality.

True population differences explain failure to be equal.

Answer 7

Sampling errors or true population differences explain their failure to be equal.

Question 8

ANOVA is a “________” procedure that signals when at least one pair of means is significantly different.

red light

yellow light

purple light

green light

Answer 8

green light

Question 9

ANOVA is much more efficient and convenient than:

Performing successive independent sample similarities tests.

Performing successive dependent sample differences tests.

Performing successive independent sample differences tests.

Performing an independent sample differences test.

Answer 9

Performing successive independent sample differences tests.

Question 10

Another advantage of using ANOVA is that it ________ so the significant differences can be located and interpreted easily.

arranges the medians

arranges the means

arranges the mode

arranges insignificant data

Answer 10

arranges the means