Question 1

A characteristic of a sample,such as the sample mean or sample standard deviation,is known as a(n):

Accepted Answer

A)  population 
B)  census 
C)  parameter 
D)  observation 
E)  statistic 
A)  population 
B)  census 
C)  parameter 
D)  observation 
E)  statistic E

Question 2

Which of the following does not characterize stratified sampling?

Accepted Answer

A)  The population is divided into strata that are distinct. 
B)  The population is divided into strata that are mutually exclusive and exhaustive. 
C)  The population is divided into strata that are homogenous. 
D)  The population is divided into strata that are heterogenous. 
A)  The population is divided into strata that are distinct. 
B)  The population is divided into strata that are mutually exclusive and exhaustive. 
C)  The population is divided into strata that are homogenous. 
D)  The population is divided into strata that are heterogenous. D

Question 3

Predictive research attempts to forecast some situation or value that will occur in the future.

Accepted Answer

A) True 
 B)False  True

Question 4

When all the items in a population have some (nonzero)known or calculable chance of being selected in the sample,this is called:

Accepted Answer

A)  probability sampling. 
B)  nonprobability sampling. 
C)  purposive sampling. 
D)  convenience sampling. 
E)  judgment sampling. 
A)  probability sampling. 
B)  nonprobability sampling. 
C)  purposive sampling. 
D)  convenience sampling. 
E)  judgment sampling.

Question 5

Which of the following statements is not true?

Accepted Answer

A)  Extraneous variables refer to outside variables that are not part of the experiment. 
B)  Persons or objects receiving a treatment are said to be in an experimental group. 
C)  Persons or objects not exposed to a treatment are said to be in a control group. 
D)  Internal validity refers to whether the treatment really made the difference in the measurements obtained. 
E)  All of these are true. 
A)  Extraneous variables refer to outside variables that are not part of the experiment. 
B)  Persons or objects receiving a treatment are said to be in an experimental group. 
C)  Persons or objects not exposed to a treatment are said to be in a control group. 
D)  Internal validity refers to whether the treatment really made the difference in the measurements obtained. 
E)  All of these are true.

Question 6

When the respondents to a questionnaire have different characteristics from those who did not choose to participate in the survey,the survey will likely suffer from ____________________.

Accepted Answer

The answer of When the respondents to a questionnaire have...

Question 7

To overcome one of the shortcomings of telephone surveys due to unlisted telephone numbers:

Accepted Answer

A)  survey takers purchase mail lists of unlisted telephone number subscribers. 
B)  survey takers employ random digit dialing facilities. 
C)  survey takers contact telephone companies for a list of unlisted telephone numbers. 
D)  survey takers purchase lists of unlisted telephone numbers from magazine subscribers. 
E)  survey takers go door to door and identify the unlisted telephone subscribers. 
A)  survey takers purchase mail lists of unlisted telephone number subscribers. 
B)  survey takers employ random digit dialing facilities. 
C)  survey takers contact telephone companies for a list of unlisted telephone numbers. 
D)  survey takers purchase lists of unlisted telephone numbers from magazine subscribers. 
E)  survey takers go door to door and identify the unlisted telephone subscribers.

Question 8

Business research studies can be categorized according to the objective involved and may be exploratory,descriptive,causal,or predictive.

Accepted Answer

A) True 
 B)False

Question 9

Statistics can be used as a descriptive tool for expressing information relevant to business.

Accepted Answer

A) True 
 B)False

Question 10

In general,multiple choice and dichotomous questions can be easy to formulate,but data entry and analysis are relatively hard to accomplish.

Accepted Answer

A) True 
 B)False

Question 11

Causal research helps us become familiar with the problem situation,identify important variables,and use other variables to form hypotheses that can be tested in subsequent research.

Accepted Answer

A) True 
 B)False

Question 12

In causal research,the objective is to determine if one variable has an effect on another.

Accepted Answer

A) True 
 B)False

Question 13

Sampling error is a random,nondirectional error that is inevitable whenever a sample is taken instead of a census.

Accepted Answer

A) True 
 B)False

Question 14

Briefly,what kinds of validity must be considered in evaluating experiments?

Accepted Answer

Internal validity refers to whether the

Question 15

Fill in the blank: Data that are collected by someone other than the researcher,for purposes other than the problem or decision at hand,are referred to as _________________________.

Accepted Answer

The answer of Fill in the blank: Data that are...

Question 16

Factor analysis is a set of techniques for studying interrelationships among variables.This is done by reducing a very large set of variables to a smaller set of new variables (factors)that are more basic in meaning but contain most of the information in the original set.

Accepted Answer

A) True 
 B)False

Question 17

In cluster analysis,the individuals or objects are categorized into different groups where the members of each group tend to be different.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following is not an example of primary data?

Accepted Answer

A)  Data published by the United States Bureau of Census. 
B)  Data published by Statistics Canada. 
C)  Data published by the New York Stock Exchange. 
D)  Financial data tapes that contain data compiled from the New York Stock Exchange. 
A)  Data published by the United States Bureau of Census. 
B)  Data published by Statistics Canada. 
C)  Data published by the New York Stock Exchange. 
D)  Financial data tapes that contain data compiled from the New York Stock Exchange.

Question 19

While taking a census is more expensive than taking a sample,taking a census might help eliminate the problem of ____________________ error.

Accepted Answer

The answer of While taking a census is more expensive...

Question 20

What is data mining?

Accepted Answer

Data mining is a procedure by

A characteristic of a sample,such as the sample mean or sample standard deviation,is known as a(n):

Which of the following does not characterize stratified sampling?

Predictive research attempts to forecast some situation or value that will occur in the future.

When all the items in a population have some (nonzero)known or calculable chance of being selected in the sample,this is called:

Which of the following statements is not true?

When the respondents to a questionnaire have different characteristics from those who did not choose to participate in the survey,the survey will likely suffer from ____________________.

To overcome one of the shortcomings of telephone surveys due to unlisted telephone numbers:

Business research studies can be categorized according to the objective involved and may be exploratory,descriptive,causal,or predictive.

Statistics can be used as a descriptive tool for expressing information relevant to business.

In general,multiple choice and dichotomous questions can be easy to formulate,but data entry and analysis are relatively hard to accomplish.

Causal research helps us become familiar with the problem situation,identify important variables,and use other variables to form hypotheses that can be tested in subsequent research.

In causal research,the objective is to determine if one variable has an effect on another.

Sampling error is a random,nondirectional error that is inevitable whenever a sample is taken instead of a census.

Briefly,what kinds of validity must be considered in evaluating experiments?

Fill in the blank: Data that are collected by someone other than the researcher,for purposes other than the problem or decision at hand,are referred to as _________________________.

Factor analysis is a set of techniques for studying interrelationships among variables.This is done by reducing a very large set of variables to a smaller set of new variables (factors)that are more basic in meaning but contain most of the information in the original set.

In cluster analysis,the individuals or objects are categorized into different groups where the members of each group tend to be different.

Which of the following is not an example of primary data?

While taking a census is more expensive than taking a sample,taking a census might help eliminate the problem of ____________________ error.

What is data mining?

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Model Building

Models for Time Series and Forecasting

Decision Theory

Total Quality Management

Filters

Exam 4: Data Collection and Sampling Methods

A characteristic of a sample,such as the sample mean or sample standard deviation,is known as a(n):

Which of the following does not characterize stratified sampling?

Predictive research attempts to forecast some situation or value that will occur in the future.

When all the items in a population have some (nonzero)known or calculable chance of being selected in the sample,this is called:

Which of the following statements is not true?

When the respondents to a questionnaire have different characteristics from those who did not choose to participate in the survey,the survey will likely suffer from ____________________.

To overcome one of the shortcomings of telephone surveys due to unlisted telephone numbers:

Business research studies can be categorized according to the objective involved and may be exploratory,descriptive,causal,or predictive.

Statistics can be used as a descriptive tool for expressing information relevant to business.

In general,multiple choice and dichotomous questions can be easy to formulate,but data entry and analysis are relatively hard to accomplish.

Causal research helps us become familiar with the problem situation,identify important variables,and use other variables to form hypotheses that can be tested in subsequent research.

In causal research,the objective is to determine if one variable has an effect on another.

Sampling error is a random,nondirectional error that is inevitable whenever a sample is taken instead of a census.

Briefly,what kinds of validity must be considered in evaluating experiments?

Fill in the blank: Data that are collected by someone other than the researcher,for purposes other than the problem or decision at hand,are referred to as _________________________.

Factor analysis is a set of techniques for studying interrelationships among variables.This is done by reducing a very large set of variables to a smaller set of new variables (factors)that are more basic in meaning but contain most of the information in the original set.

In cluster analysis,the individuals or objects are categorized into different groups where the members of each group tend to be different.

Which of the following is not an example of primary data?

While taking a census is more expensive than taking a sample,taking a census might help eliminate the problem of ____________________ error.

What is data mining?

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Model Building

Models for Time Series and Forecasting

Decision Theory

Total Quality Management

Filters