Question 1

Instead of determining representativeness, the size of the sample affects the sample accuracy of the results.

Accepted Answer

A) True 
 B)False

Question 2

An amusement park owner is considering a survey to determine customer preferences for a new water ride. The owner and the researcher discuss the concept of the level of accuracy. The owner accepts a level of accuracy of + or - 5 percent. Assuming that the survey finds that 70 percent of the survey respondents indicate they want the ride, what does having a level of accuracy of + or - 5 percent accuracy actually mean?

Accepted Answer

A)  that there will be a 5 percent chance that the owner will make the wrong decision as to whether not to build the new water ride 
B)  that the real percentage of the park's customers who prefer the new water ride falls between 0 and 5 percent 
C)  that there is a 95 percent chance that the owner will make the right decision as to whether or not to build the new water ride 
D)  that the real percentage of the park's customers who prefer the new water ride falls between 65 and 75 percent 
E)  that there is a 5 percent chance, + or -, that the owner will make the right decision 
A)  that there will be a 5 percent chance that the owner will make the wrong decision as to whether not to build the new water ride 
B)  that the real percentage of the park's customers who prefer the new water ride falls between 0 and 5 percent 
C)  that there is a 95 percent chance that the owner will make the right decision as to whether or not to build the new water ride 
D)  that the real percentage of the park's customers who prefer the new water ride falls between 65 and 75 percent 
E)  that there is a 5 percent chance, + or -, that the owner will make the right decision

Question 3

If we were to graph the relationship of sample size (x axis)to sample accuracy (y axis), we would notice that:

Accepted Answer

A)  There is a linear relationship between size and accuracy. 
B)  Accuracy increases quickly, up to about sample size 500, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 2,000. 
C)  Accuracy increases quickly, up to about sample size 5,000, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 200,000. 
D)  Accuracy increases quickly, up to about sample size 50, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 100. 
E)  We cannot graph sample size and accuracy because we must also include the level of confidence and the variability within the sample data. 
A)  There is a linear relationship between size and accuracy. 
B)  Accuracy increases quickly, up to about sample size 500, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 2,000. 
C)  Accuracy increases quickly, up to about sample size 5,000, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 200,000. 
D)  Accuracy increases quickly, up to about sample size 50, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 100. 
E)  We cannot graph sample size and accuracy because we must also include the level of confidence and the variability within the sample data.

Question 4

Dot Miller owns a small chain of dive shops. She is interested in knowing how many potential customers she will need to sample in several large cities within a three- to four-hour drive of her shops located on the California coast. She wants to estimate the mean response to a 10-point scale measuring the likelihood that they will subscribe to a dive package which, if they take advantage of all the dives, represents a savings of 50 percent over taking the dives individually. In estimating the standard deviation in the population for the formula for calculating the sample size for estimating a mean, Dot can:

Accepted Answer

A)  rely on the knowledge of other owners in the dive industry to share their knowledge of surveying scuba divers 
B)  use some prior knowledge about the population, undertake a pilot study or estimate the range, and divide by 10 
C)  use some prior knowledge about the population, undertake a pilot study or estimate the range (7), and divide by 6 
D)  undertake a pilot study using members of the dive population who live near the present dive shops 
E)  None of the above; if you do not have the actual standard deviation, you cannot use the formula. 
A)  rely on the knowledge of other owners in the dive industry to share their knowledge of surveying scuba divers 
B)  use some prior knowledge about the population, undertake a pilot study or estimate the range, and divide by 10 
C)  use some prior knowledge about the population, undertake a pilot study or estimate the range (7), and divide by 6 
D)  undertake a pilot study using members of the dive population who live near the present dive shops 
E)  None of the above; if you do not have the actual standard deviation, you cannot use the formula.

Question 5

It is inappropriate to apply sample size formulae when an unknown bias is introduced by a subjective sampling method (i.e., nonprobability).

Accepted Answer

A) True 
 B)False

Question 6

Which of the following statements best illustrates the concept of the "level of confidence" or z value chosen in sample size formulae?

Accepted Answer

A)  by setting z at 1.96 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 95 percent of the time 
B)  by setting z at 1.96 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 5 percent of the time 
C)  by setting z at 2.58 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 95 percent of the time 
D)  by setting z at 1.96 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 99 percent of the time 
E)  by setting z at 2.58 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 1 percent of the time 
A)  by setting z at 1.96 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 95 percent of the time 
B)  by setting z at 1.96 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 5 percent of the time 
C)  by setting z at 2.58 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 95 percent of the time 
D)  by setting z at 1.96 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 99 percent of the time 
E)  by setting z at 2.58 it means that the manager could expect, if she conducted the survey many, many times, the value of p would fall within the sample error range 1 percent of the time

Question 7

By applying the finite multiplier it is possible to:

Accepted Answer

A)  reduce the population and achieve the same accuracy level 
B)  reduce the sample size or achieve the appropriate accuracy level 
C)  reduce the sample size and achieve the same accuracy level 
D)  reduce the accuracy level and maintain the same sample size 
E)  None of the above; there is no "finite multiplier." 
A)  reduce the population and achieve the same accuracy level 
B)  reduce the sample size or achieve the appropriate accuracy level 
C)  reduce the sample size and achieve the same accuracy level 
D)  reduce the accuracy level and maintain the same sample size 
E)  None of the above; there is no "finite multiplier."

Question 8

It is almost always up to the researcher to educate the manager on what might be acceptable or "standard" sample error.

Accepted Answer

A) True 
 B)False

Question 9

National opinion polls tend to use sample sizes ranging from ________ to ________.

Accepted Answer

A)  10; 100 
B)  1,000; 1,200 
C)  50,000; 100,000 
D)  1 million; 5 million 
E)  10 million; 15 million 
A)  10; 100 
B)  1,000; 1,200 
C)  50,000; 100,000 
D)  1 million; 5 million 
E)  10 million; 15 million

Question 10

A probability sample size can be a very tiny percent of the population size and still be very accurate (have little sample error).

Accepted Answer

A) True 
 B)False

Question 11

In sample size formulae, acceptable sample error is noted by "e."

Accepted Answer

A) True 
 B)False

Instead of determining representativeness, the size of the sample affects the sample accuracy of the results.

If we were to graph the relationship of sample size (x axis)to sample accuracy (y axis), we would notice that:

It is inappropriate to apply sample size formulae when an unknown bias is introduced by a subjective sampling method (i.e., nonprobability).

Which of the following statements best illustrates the concept of the "level of confidence" or z value chosen in sample size formulae?

By applying the finite multiplier it is possible to:

It is almost always up to the researcher to educate the manager on what might be acceptable or "standard" sample error.

National opinion polls tend to use sample sizes ranging from to .

A probability sample size can be a very tiny percent of the population size and still be very accurate (have little sample error).

In sample size formulae, acceptable sample error is noted by "e."

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

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

Basic Data Analysis: Descriptive Statistics

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

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

Exam 13: Determining the Size of a Sample

Instead of determining representativeness, the size of the sample affects the sample accuracy of the results.

If we were to graph the relationship of sample size (x axis)to sample accuracy (y axis), we would notice that:

It is inappropriate to apply sample size formulae when an unknown bias is introduced by a subjective sampling method (i.e., nonprobability).

Which of the following statements best illustrates the concept of the "level of confidence" or z value chosen in sample size formulae?

By applying the finite multiplier it is possible to:

It is almost always up to the researcher to educate the manager on what might be acceptable or "standard" sample error.

National opinion polls tend to use sample sizes ranging from ________ to ________.

A probability sample size can be a very tiny percent of the population size and still be very accurate (have little sample error).

In sample size formulae, acceptable sample error is noted by "e."

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

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

Basic Data Analysis: Descriptive Statistics

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

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

National opinion polls tend to use sample sizes ranging from to .