Question 1

Statisticians make estimates of population parameters that may be either:

Accepted Answer

A)  means or percentages 
B)  dollars or cents 
C)  positive or negative 
D)  subjective or negative 
E)  subjective or objective 
A)  means or percentages 
B)  dollars or cents 
C)  positive or negative 
D)  subjective or negative 
E)  subjective or objective

Question 2

When we use SPSS to test a hypothesis for a percentage, we use the F value instead of the z value.

Accepted Answer

A) True 
 B)False

Question 3

A hypothesis test gives you the probability of support for your hypothesis based on our sample evidence and sample size.

Accepted Answer

A) True 
 B)False

Question 4

To use SPSS to test a hypothesis for a percentage you would use:

Accepted Answer

A)  ANALYZE; TEST HYPOTHESIS; PERCENTAGE 
B)  ANALYZE; TRANSFORM; HYPOTHESIS 
C)  ANALYZE; CONFIDENCE LEVEL; HYPOTHESIS; PERCENTAGE 
D)  ANALYZE; CONFIDENCE LEVEL; PERCENTAGE 
E)  None of the above; SPSS does not test hypotheses for percentages. 
A)  ANALYZE; TEST HYPOTHESIS; PERCENTAGE 
B)  ANALYZE; TRANSFORM; HYPOTHESIS 
C)  ANALYZE; CONFIDENCE LEVEL; HYPOTHESIS; PERCENTAGE 
D)  ANALYZE; CONFIDENCE LEVEL; PERCENTAGE 
E)  None of the above; SPSS does not test hypotheses for percentages.

Question 5

If you were investigating the average number of golf balls purchased by golfers in a month, your sample statistic would be a mean.

Accepted Answer

A) True 
 B)False

Question 6

Failure to support the hypothesis essentially tells the hypothesizer that the assumptions about the population are in error and that they must be revised in light of the evidence from the sample.

Accepted Answer

A) True 
 B)False

Question 7

If we make a hypothesis and wish to be 95 percent confident in testing the hypothesis, a z score that supports the hypothesis will fall ________ of + or - 1.96:

Accepted Answer

A)  inside 
B)  outside 
C)  near, but not inside 
D)  near, but not alongside 
E)  within some multiple 
A)  inside 
B)  outside 
C)  near, but not inside 
D)  near, but not alongside 
E)  within some multiple

Question 8

When computing standard error, if the variance (standard deviation)increases, then the standard error:

Accepted Answer

A)  decreases 
B)  increases 
C)  remains the same 
D)  becomes null 
E)  Variance has nothing to do with standard error. 
A)  decreases 
B)  increases 
C)  remains the same 
D)  becomes null 
E)  Variance has nothing to do with standard error.

Question 9

Which of the following is a directional hypothesis?

Accepted Answer

A)  The population percentage is equal to 60%. 
B)  The population percentage is not equal to 60%. 
C)  The population mean is equal to $50. 
D)  The population percentage is less than 70%. 
E)  The population mean is equal to 100. 
A)  The population percentage is equal to 60%. 
B)  The population percentage is not equal to 60%. 
C)  The population mean is equal to $50. 
D)  The population percentage is less than 70%. 
E)  The population mean is equal to 100.

Question 10

Two types of statistical inference are parameter estimates and hypothesis tests.

Accepted Answer

A) True 
 B)False

Question 11

Which of the following refers to a set of procedures in which the sample size and sample statistics are used to make estimates of population parameters?

Accepted Answer

A)  sample logic 
B)  inference 
C)  statistical inference 
D)  estimate inferences 
E)  population logic 
A)  sample logic 
B)  inference 
C)  statistical inference 
D)  estimate inferences 
E)  population logic

Question 12

A 99 percent confidence interval allows us to say that if we took many, many samples from the population:

Accepted Answer

A)  all of the samples would contain a range that included the population parameter 
B)  99 percent of the samples would contain a range that included the population parameter 
C)  99 percent of the samples would allow us to estimate the mean within + or - 1 percent 
D)  1 percent of the samples would contain a range that included the population parameter 
E)  1 percent of the samples would allow us to estimate the mean with + or - 1 percent 
A)  all of the samples would contain a range that included the population parameter 
B)  99 percent of the samples would contain a range that included the population parameter 
C)  99 percent of the samples would allow us to estimate the mean within + or - 1 percent 
D)  1 percent of the samples would contain a range that included the population parameter 
E)  1 percent of the samples would allow us to estimate the mean with + or - 1 percent

Question 13

The z value associated with a 99 percent confidence interval is either a + or - 2.58.

Accepted Answer

A) True 
 B)False

Question 14

SPSS will not calculate the confidence interval for a percentage.

Accepted Answer

A) True 
 B)False

Question 15

Which of the following refers to a measure of the variability in the sampling distribution based on what is theoretically believed to occur if we were to take a multitude of independent samples from the same population?

Accepted Answer

A)  multiple variance analysis 
B)  standard variance 
C)  standard error 
D)  confidence error 
E)  independent error 
A)  multiple variance analysis 
B)  standard variance 
C)  standard error 
D)  confidence error 
E)  independent error

Question 16

Which of the following may be used to estimate a "best," "pessimistic," and "optimistic," value of market potential?

Accepted Answer

A)  mean, median, mode 
B)  a confidence interval 
C)  hypothesis test (three) 
D)  the theoretical market potential estimator 
E)  intuitive hypothesis tests (three) 
A)  mean, median, mode 
B)  a confidence interval 
C)  hypothesis test (three) 
D)  the theoretical market potential estimator 
E)  intuitive hypothesis tests (three)

Question 17

The alternative hypothesis refers to doing just about anything to make a decision other than hypothesis testing.

Accepted Answer

A) True 
 B)False

Question 18

The standard error will increase if the variation (standard deviation)is increased.

Accepted Answer

A) True 
 B)False

Question 19

You test a directional hypothesis that consumers spend less than $12 a person to go to the movies. Your z value turns out to be -1.64. Your data supports your hypothesis.

Accepted Answer

A) True 
 B)False

Question 20

Which of the following refers to using sample data to accept or reject some exact specification as to what the population parameter is?

Accepted Answer

A)  confidence analysis 
B)  standard error analysis 
C)  hypothesis testing 
D)  specification support/rejection 
E)  theory testing 
A)  confidence analysis 
B)  standard error analysis 
C)  hypothesis testing 
D)  specification support/rejection 
E)  theory testing

Statisticians make estimates of population parameters that may be either:

When we use SPSS to test a hypothesis for a percentage, we use the F value instead of the z value.

A hypothesis test gives you the probability of support for your hypothesis based on our sample evidence and sample size.

To use SPSS to test a hypothesis for a percentage you would use:

If you were investigating the average number of golf balls purchased by golfers in a month, your sample statistic would be a mean.

Failure to support the hypothesis essentially tells the hypothesizer that the assumptions about the population are in error and that they must be revised in light of the evidence from the sample.

If we make a hypothesis and wish to be 95 percent confident in testing the hypothesis, a z score that supports the hypothesis will fall ________ of + or - 1.96:

When computing standard error, if the variance (standard deviation)increases, then the standard error:

Which of the following is a directional hypothesis?

Two types of statistical inference are parameter estimates and hypothesis tests.

Which of the following refers to a set of procedures in which the sample size and sample statistics are used to make estimates of population parameters?

A 99 percent confidence interval allows us to say that if we took many, many samples from the population:

The z value associated with a 99 percent confidence interval is either a + or - 2.58.

SPSS will not calculate the confidence interval for a percentage.

Which of the following refers to a measure of the variability in the sampling distribution based on what is theoretically believed to occur if we were to take a multitude of independent samples from the same population?

Which of the following may be used to estimate a "best," "pessimistic," and "optimistic," value of market potential?

The alternative hypothesis refers to doing just about anything to make a decision other than hypothesis testing.

The standard error will increase if the variation (standard deviation)is increased.

You test a directional hypothesis that consumers spend less than $12 a person to go to the movies. Your z value turns out to be -1.64. Your data supports your hypothesis.

Which of the following refers to using sample data to accept or reject some exact specification as to what the population parameter is?

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Testing for Differences Between Two Groups or Among More Than

Determining and Interpreting Associations Among Variables

Regression Analysis in Marketing Research

The Marketing Research Report: Preparation and Presentation

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Exam 16: Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

Statisticians make estimates of population parameters that may be either:

When we use SPSS to test a hypothesis for a percentage, we use the F value instead of the z value.

A hypothesis test gives you the probability of support for your hypothesis based on our sample evidence and sample size.

To use SPSS to test a hypothesis for a percentage you would use:

If you were investigating the average number of golf balls purchased by golfers in a month, your sample statistic would be a mean.

Failure to support the hypothesis essentially tells the hypothesizer that the assumptions about the population are in error and that they must be revised in light of the evidence from the sample.

If we make a hypothesis and wish to be 95 percent confident in testing the hypothesis, a z score that supports the hypothesis will fall ________ of + or - 1.96:

When computing standard error, if the variance (standard deviation)increases, then the standard error:

Which of the following is a directional hypothesis?

Two types of statistical inference are parameter estimates and hypothesis tests.

Which of the following refers to a set of procedures in which the sample size and sample statistics are used to make estimates of population parameters?

A 99 percent confidence interval allows us to say that if we took many, many samples from the population:

The z value associated with a 99 percent confidence interval is either a + or - 2.58.

SPSS will not calculate the confidence interval for a percentage.

Which of the following refers to a measure of the variability in the sampling distribution based on what is theoretically believed to occur if we were to take a multitude of independent samples from the same population?

Which of the following may be used to estimate a "best," "pessimistic," and "optimistic," value of market potential?

The alternative hypothesis refers to doing just about anything to make a decision other than hypothesis testing.

The standard error will increase if the variation (standard deviation)is increased.

You test a directional hypothesis that consumers spend less than $12 a person to go to the movies. Your z value turns out to be -1.64. Your data supports your hypothesis.

Which of the following refers to using sample data to accept or reject some exact specification as to what the population parameter is?

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Testing for Differences Between Two Groups or Among More Than

Determining and Interpreting Associations Among Variables

Regression Analysis in Marketing Research

The Marketing Research Report: Preparation and Presentation

Filters