Question 1

What kind of error is being made if the researcher fails to reject the null hypothesis when it is,in fact,false?

Accepted Answer

A) chi-square 
B) type I 
C) type II 
D) type III 
E) none of the above 
A) chi-square 
B) type I 
C) type II 
D) type III 
E) none of the above C

Question 2

Suppose a client wants to evaluate average weekly miles jogging by males and females.Initially,the consultant thinks a t-test would be the preferred method of analysis.However,the client wants to know where the differences exist among short,medium and long mileage joggers.What will the consultant have to do to satisfy his/her client?

Accepted Answer

The research would have to take the metric data concerning mileage and create 3 classes according to distance,low mileage,medium mileage and high mileage joggers.This could be done by observing a frequency distribution of the mileage responses and breaking it into 3 parts at approximately 0-33.3%,33.4-66.7% and over 66.7%.Now mileage jogged weakly is in 3 discrete categories and can be crosstabulated with gender.

Question 3

For comparing means,most statistical software packages use which test?

Accepted Answer

A) chi-square 
B) anova 
C) t-test 
D) beta 
A) chi-square 
B) anova 
C) t-test 
D) beta C

Question 4

What type of data would be necessary to have when testing for differences in means?

Accepted Answer

A) nominal 
B) ordinal 
C) metric 
D) none of the above 
A) nominal 
B) ordinal 
C) metric 
D) none of the above

Question 5

Failing to reject the null hypothesis is the same as accepting the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 6

A Type I error involves rejecting the null hypothesis when it is,in fact,true.

Accepted Answer

A) True 
 B)False

Question 7

Mathematical differences are the same as statistically significant differences.

Accepted Answer

A) True 
 B)False

Question 8

What is the purpose of statistical inferences?

Accepted Answer

A) to fully describe the characteristics of the population 
B) to make generalizations about population characteristics from sample results 
C) to estimate mean,median,mode,variance,and skewness of large sample data 
D) to study characteristics of binomial or Poisson random variables 
E) all of the above 
A) to fully describe the characteristics of the population 
B) to make generalizations about population characteristics from sample results 
C) to estimate mean,median,mode,variance,and skewness of large sample data 
D) to study characteristics of binomial or Poisson random variables 
E) all of the above

Question 9

A consultant has collected 700 usable responses via a probability sample concerning political opinions.After analyzing each respondent's political ideology,he/she divides the respondents into two groups,moderate liberals and moderate conservatives.Further,the consultant asks respondents the following:
How likely are you to vote for increasing property taxes in the next election?
(1)very unlikely (2)somewhat unlikely (3)undecided
(4)somewhat likely (5)very likely
The consultant wants to determine if the moderate conservatives differ significantly from moderate liberals concerning how they'll vote on the property tax issue in the next election.How should the data be analyzed?

Accepted Answer

The problem involves comparing

Question 10

Suppose in our sample results we find that males average drinking five soft drinks per week, compared with six soft drinks per week for females.  In the absence of additional analysis, what type of difference has been illustrated?

Accepted Answer

A) 	statistical difference 
B) 	managerially important difference 
C) 	a difference of dispersion 
D) 	mathematical difference 
E) 	none of the above 
A) 	statistical difference 
B) 	managerially important difference 
C) 	a difference of dispersion 
D) 	mathematical difference 
E) 	none of the above

Question 11

The issue of whether certain measurements are different from one another is central to many questions of critical interest to marketing managers.

Accepted Answer

A) True 
 B)False

Question 12

ANOVA is used to analyze the differences of more than 2 means.

Accepted Answer

A) True 
 B)False

Question 13

A consultant has a random sample of 400 usable responses in a database.Included are the following questions:
Household Income Category:
(1)$0 to $24,999 (2)$25,000 to $49,999 (3)$50,000 to $99,999
(4)$100,000 and over
Average Weekly Soft Drink Consumption: _______________________
The consultant wants to determine if there are any statistically significant differences in average weekly soft drink consumption by income category.What statistical test should be applied to give the consultant the information he needs?

Accepted Answer

Since the problem will involve

Question 14

The smaller the p value,the smaller is the probability that the observed result occurred by chance.

Accepted Answer

A) True 
 B)False

Question 15

What determines the decision of whether to use a one-tailed test or a two-tailed test when testing hypotheses to make inferences about a population mean?

Accepted Answer

A) 	the sample size and the estimated standard error 
B) 	the nature of the situation and what the researcher is trying to demonstrate 
C) 	the level of significance of the test 
D) 	the sample size relative to the population size 
E) 	the standard error relative to the sample variance 
A) 	the sample size and the estimated standard error 
B) 	the nature of the situation and what the researcher is trying to demonstrate 
C) 	the level of significance of the test 
D) 	the sample size relative to the population size 
E) 	the standard error relative to the sample variance

Question 16

If a particular difference is large enough to be unlikely to have occurred because of chance or sampling error,then the difference is statistically significant.

Accepted Answer

A) True 
 B)False

Question 17

Illustrate a situation when is it more appropriate to use an Anova test rather than a
crosstabulation with the chi-square test.

Accepted Answer

Generally,crosstabulation analysis is no

Question 18

In the decision that the null hypothesis is accepted,there must be enough evidence in the data that the alternative hypothesis is correct.

Accepted Answer

A) True 
 B)False

Question 19

In testing a hypothesis about means,if the sample size was less than 30,then the appropriate statistical test would be?

Accepted Answer

A) chi-square test 
B) t-test 
C) z-test 
D) one-way ANOVA 
E) none of the above 
A) chi-square test 
B) t-test 
C) z-test 
D) one-way ANOVA 
E) none of the above

Question 20

The chi-square test enables the research analyst to determine whether an observed pattern of frequencies corresponds to,or fits,an "unexpected pattern."

Accepted Answer

A) True 
 B)False

Exam 16: A: Statistical Testing of Differences and Relationships

What kind of error is being made if the researcher fails to reject the null hypothesis when it is,in fact,false?

For comparing means,most statistical software packages use which test?

What type of data would be necessary to have when testing for differences in means?

Failing to reject the null hypothesis is the same as accepting the null hypothesis.

A Type I error involves rejecting the null hypothesis when it is,in fact,true.

Mathematical differences are the same as statistically significant differences.

What is the purpose of statistical inferences?

Suppose in our sample results we find that males average drinking five soft drinks per week, compared with six soft drinks per week for females. In the absence of additional analysis, what type of difference has been illustrated?

The issue of whether certain measurements are different from one another is central to many questions of critical interest to marketing managers.

ANOVA is used to analyze the differences of more than 2 means.

The smaller the p value,the smaller is the probability that the observed result occurred by chance.

What determines the decision of whether to use a one-tailed test or a two-tailed test when testing hypotheses to make inferences about a population mean?

If a particular difference is large enough to be unlikely to have occurred because of chance or sampling error,then the difference is statistically significant.

Illustrate a situation when is it more appropriate to use an Anova test rather than a crosstabulation with the chi-square test.

In the decision that the null hypothesis is accepted,there must be enough evidence in the data that the alternative hypothesis is correct.

In testing a hypothesis about means,if the sample size was less than 30,then the appropriate statistical test would be?

The chi-square test enables the research analyst to determine whether an observed pattern of frequencies corresponds to,or fits,an "unexpected pattern."

The Role of Marketing Research in Management Decision Making

A: The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

A: The Marketing Research Industry and Research Ethics

Problem Definition,exploratory Research,and the Research Process

A: Problem Definition and the Research Process

Secondary Data and Databases

A: Secondary Data and Databases

Qualitative Research

A: Qualitative Research

Traditional Survey Research

A: Traditional Survey Research

Online Marketing Research

A: Online Marketing Research

Primary Data Collection: Observation

A: Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

A: Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

A: The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

A: Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

A: Questionnaire Design

Basic Sampling Issues

A: Basic Sampling Issues

Sample Size Determination

A: Sample Size Determination

Data Processing and Fundamental Data Analysis

A: Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

Bivariate Correlation and Regression

A: Bivariate Correlation and Regression

Multivariate Data Analysis

A: Multivariate Data Analysis

Communicating the Research Results

A: Communicating the Research Results

Managing Marketing Research

A: Managing Marketing Research

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