Question 1

Which of the following is a quantitative variable?

Accepted Answer

A)  the manufacturer of a cell phone 
B)  a person's gender 
C)  mileage of a car 
D)  whether a person is a college graduate 
E)  whether a person has a charge account 
A)  the manufacturer of a cell phone 
B)  a person's gender 
C)  mileage of a car 
D)  whether a person is a college graduate 
E)  whether a person has a charge account C

Question 2

Which of the following is a categorical variable?

Accepted Answer

A)  air temperature 
B)  bank account balance 
C)  daily sales in a store 
D)  whether a person has a traffic violation 
E)  value of company stock 
A)  air temperature 
B)  bank account balance 
C)  daily sales in a store 
D)  whether a person has a traffic violation 
E)  value of company stock D

Question 3

Any characteristic of a population unit is a(n)

Accepted Answer

A)  measurement. 
B)  sample. 
C)  observation. 
D)  variable. 
A)  measurement. 
B)  sample. 
C)  observation. 
D)  variable. D

Question 4

Examining all population measurements is called a ________.

Accepted Answer

A)  census 
B)  frame 
C)  sample 
D)  variable 
A)  census 
B)  frame 
C)  sample 
D)  variable

Question 5

If we sample without replacement, we do not place the unit chosen on a particular selection back into the population.

Accepted Answer

A) True 
 B)False

Question 6

The term big data refers to the use of survey data by big business.

Accepted Answer

A) True 
 B)False

Question 7

Which of the following is not a method of numerical descriptive analytics?

Accepted Answer

A)  factor analysis 
B)  cluster analysis 
C)  bullet graphs 
D)  association learning 
A)  factor analysis 
B)  cluster analysis 
C)  bullet graphs 
D)  association learning

Question 8

Data that are collected by an individual through personally planned experimentation or observation are ________.

Accepted Answer

A)  secondary data 
B)  quantitative data 
C)  primary data 
D)  variables 
A)  secondary data 
B)  quantitative data 
C)  primary data 
D)  variables

Question 9

A low response rate has no effect on the validity of a survey's findings.

Accepted Answer

A) True 
 B)False

Question 10

A Yes or No question is ________.

Accepted Answer

A)  dichotomous 
B)  evaluative 
C)  open-ended 
D)  systematic 
A)  dichotomous 
B)  evaluative 
C)  open-ended 
D)  systematic

Question 11

The two types of quantitative variables are

Accepted Answer

A)  ordinal and ratio. 
B)  interval and ordinal. 
C)  nominative and ordinal. 
D)  interval and ratio. 
E)  nominative and interval. 
A)  ordinal and ratio. 
B)  interval and ordinal. 
C)  nominative and ordinal. 
D)  interval and ratio. 
E)  nominative and interval.

Question 12

The change in the daily price of a stock is what type of variable?

Accepted Answer

A)  qualitative 
B)  ordinal 
C)  random 
D)  quantitative 
A)  qualitative 
B)  ordinal 
C)  random 
D)  quantitative

Question 13

A ________ is a list of all the units in a population.

Accepted Answer

A)  sample 
B)  frame 
C)  census 
D)  variable 
A)  sample 
B)  frame 
C)  census 
D)  variable

Question 14

In a data set of information on college business students, an example of an element is their cumulative GPA.

Accepted Answer

A) True 
 B)False

Question 15

A random sample is selected so that every element in the population has the same chance of being included in the sample.

Accepted Answer

A) True 
 B)False

Question 16

Cross-sectional data are data collected at the same or approximately the same point in time.

Accepted Answer

A) True 
 B)False

Question 17

It is possible to use a random sample from a population to make statistical inferences about the entire population.

Accepted Answer

A) True 
 B)False

Question 18

Methods for obtaining a sample are called

Accepted Answer

A)  sample surveys. 
B)  probability sampling. 
C)  random sampling. 
D)  sampling designs. 
A)  sample surveys. 
B)  probability sampling. 
C)  random sampling. 
D)  sampling designs.

Question 19

College entrance exam scores, such as SAT scores, are an example of a(n) ________ variable.

Accepted Answer

A)  ordinal 
B)  ratio 
C)  nominative 
D)  interval 
A)  ordinal 
B)  ratio 
C)  nominative 
D)  interval

Question 20

An identification of police officers by rank would represent a(n) ________ level of measurement.

Accepted Answer

A)  nominative 
B)  ordinal 
C)  interval 
D)  ratio 
A)  nominative 
B)  ordinal 
C)  interval 
D)  ratio

Which of the following is a quantitative variable?

Which of the following is a categorical variable?

Any characteristic of a population unit is a(n)

Examining all population measurements is called a ________.

If we sample without replacement, we do not place the unit chosen on a particular selection back into the population.

The term big data refers to the use of survey data by big business.

Which of the following is not a method of numerical descriptive analytics?

Data that are collected by an individual through personally planned experimentation or observation are ________.

A low response rate has no effect on the validity of a survey's findings.

A Yes or No question is ________.

The two types of quantitative variables are

The change in the daily price of a stock is what type of variable?

A ________ is a list of all the units in a population.

In a data set of information on college business students, an example of an element is their cumulative GPA.

A random sample is selected so that every element in the population has the same chance of being included in the sample.

Cross-sectional data are data collected at the same or approximately the same point in time.

It is possible to use a random sample from a population to make statistical inferences about the entire population.

Methods for obtaining a sample are called

College entrance exam scores, such as SAT scores, are an example of a(n) ________ variable.

An identification of police officers by rank would represent a(n) ________ level of measurement.

Descriptive Statistics and Analytics: Tabular and Graphical Methods

Descriptive Statistics and Analytics: Numerical Methods

Probability and Probability Models

Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes,

Discrete Random Variables

Continuous Random Variables

Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Exam 1: An Introduction to Business Statistics and Analytics

Which of the following is a quantitative variable?

Which of the following is a categorical variable?

Any characteristic of a population unit is a(n)

Examining all population measurements is called a ________.

If we sample without replacement, we do not place the unit chosen on a particular selection back into the population.

The term big data refers to the use of survey data by big business.

Which of the following is not a method of numerical descriptive analytics?

Data that are collected by an individual through personally planned experimentation or observation are ________.

A low response rate has no effect on the validity of a survey's findings.

A Yes or No question is ________.

The two types of quantitative variables are

The change in the daily price of a stock is what type of variable?

A ________ is a list of all the units in a population.

In a data set of information on college business students, an example of an element is their cumulative GPA.

A random sample is selected so that every element in the population has the same chance of being included in the sample.

Cross-sectional data are data collected at the same or approximately the same point in time.

It is possible to use a random sample from a population to make statistical inferences about the entire population.

Methods for obtaining a sample are called

College entrance exam scores, such as SAT scores, are an example of a(n) ________ variable.

An identification of police officers by rank would represent a(n) ________ level of measurement.

Descriptive Statistics and Analytics: Tabular and Graphical Methods

Descriptive Statistics and Analytics: Numerical Methods

Probability and Probability Models

Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes,

Discrete Random Variables

Continuous Random Variables

Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters