Question 1

A ratio variable has the following characteristic.

Accepted Answer

A)  qualitative 
B)  inherently defined zero value 
C)  categorical in nature 
D)  predictable 
A)  qualitative 
B)  inherently defined zero value 
C)  categorical in nature 
D)  predictable

Question 2

Statistical inference is the science of using a sample of measurements to make generalizations about the important aspects of a population of measurements.

Accepted Answer

A) True 
 B)False

Question 3

Selecting many different samples and running many different tests can eventually produce a result that makes a desired conclusion be true.

Accepted Answer

A) True 
 B)False

Question 4

The number of sick days per month taken by employees for the last 10 years at Apex Co. is an example of time series data.

Accepted Answer

A) True 
 B)False

Question 5

A population that consists of all the customers who will use the drive-thru of the local fast food restaurant is called a(n) ________.

Accepted Answer

A)  infinite population 
B)  random sample population 
C)  statistical population 
D)  finite population 
A)  infinite population 
B)  random sample population 
C)  statistical population 
D)  finite population

Question 6

Which of the following is not a supervised learning technique in predictive analytics?

Accepted Answer

A)  linear regression 
B)  factor analysis 
C)  decision trees 
D)  neural networks 
A)  linear regression 
B)  factor analysis 
C)  decision trees 
D)  neural networks

Question 7

An example of a quantitative variable is the manufacturer of a car.

Accepted Answer

A) True 
 B)False

Question 8

A(n) ________ variable is a qualitative variable such that there is no meaningful ordering or ranking of the categories.

Accepted Answer

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

Question 9

One method of being sure a sample being studied can be used to make statistical inferences about the population is to select a

Accepted Answer

A)  judgment sample. 
B)  voluntary response sample. 
C)  convenience sample. 
D)  probability sample. 
A)  judgment sample. 
B)  voluntary response sample. 
C)  convenience sample. 
D)  probability sample.

Question 10

A(n) ________ variable can have values that indicate into which of several categories of a population it belongs.

Accepted Answer

A)  qualitative 
B)  quantitative 
C)  ratio 
D)  interval 
A)  qualitative 
B)  quantitative 
C)  ratio 
D)  interval

Question 11

Processes produce outputs over time.

Accepted Answer

A) True 
 B)False

Question 12

If we examine some of the population measurements, we are conducting a census of the population.

Accepted Answer

A) True 
 B)False

Question 13

A set of all elements we wish to study is called a ________.

Accepted Answer

A)  sample 
B)  process 
C)  census 
D)  population 
A)  sample 
B)  process 
C)  census 
D)  population

Question 14

The weight of a chemical compound used in an experiment that is obtained using a well-adjusted scale represents a(n) ________ level of measurement.

Accepted Answer

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

Question 15

Statistical ________ refers to using a sample of measurements and making generalizations about the important aspects of a population.

Accepted Answer

A)  sampling 
B)  process 
C)  analysis 
D)  inference 
A)  sampling 
B)  process 
C)  analysis 
D)  inference

Question 16

Stratification can at times be combined with multistage cluster sampling to develop an appropriate sample.

Accepted Answer

A) True 
 B)False

Question 17

The science of describing the important aspects of a set of measures is called statistical inference.

Accepted Answer

A) True 
 B)False

Question 18

An individual collecting data directly through planned experimentation is obtaining primary data.

Accepted Answer

A) True 
 B)False

Question 19

Any characteristic of an element is called a ________.

Accepted Answer

A)  set 
B)  process 
C)  variable 
D)  census 
A)  set 
B)  process 
C)  variable 
D)  census

Question 20

A person's telephone area code is an example of a(n) ________ variable.

Accepted Answer

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

A ratio variable has the following characteristic.

Statistical inference is the science of using a sample of measurements to make generalizations about the important aspects of a population of measurements.

Selecting many different samples and running many different tests can eventually produce a result that makes a desired conclusion be true.

The number of sick days per month taken by employees for the last 10 years at Apex Co. is an example of time series data.

A population that consists of all the customers who will use the drive-thru of the local fast food restaurant is called a(n) ________.

Which of the following is not a supervised learning technique in predictive analytics?

An example of a quantitative variable is the manufacturer of a car.

A(n) ________ variable is a qualitative variable such that there is no meaningful ordering or ranking of the categories.

One method of being sure a sample being studied can be used to make statistical inferences about the population is to select a

A(n) ________ variable can have values that indicate into which of several categories of a population it belongs.

Processes produce outputs over time.

If we examine some of the population measurements, we are conducting a census of the population.

A set of all elements we wish to study is called a ________.

The weight of a chemical compound used in an experiment that is obtained using a well-adjusted scale represents a(n) ________ level of measurement.

Statistical ________ refers to using a sample of measurements and making generalizations about the important aspects of a population.

Stratification can at times be combined with multistage cluster sampling to develop an appropriate sample.

The science of describing the important aspects of a set of measures is called statistical inference.

An individual collecting data directly through planned experimentation is obtaining primary data.

Any characteristic of an element is called a ________.

A person's telephone area code is an example of a(n) ________ variable.

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

A ratio variable has the following characteristic.

Statistical inference is the science of using a sample of measurements to make generalizations about the important aspects of a population of measurements.

Selecting many different samples and running many different tests can eventually produce a result that makes a desired conclusion be true.

The number of sick days per month taken by employees for the last 10 years at Apex Co. is an example of time series data.

A population that consists of all the customers who will use the drive-thru of the local fast food restaurant is called a(n) ________.

Which of the following is not a supervised learning technique in predictive analytics?

An example of a quantitative variable is the manufacturer of a car.

A(n) ________ variable is a qualitative variable such that there is no meaningful ordering or ranking of the categories.

One method of being sure a sample being studied can be used to make statistical inferences about the population is to select a

A(n) ________ variable can have values that indicate into which of several categories of a population it belongs.

Processes produce outputs over time.

If we examine some of the population measurements, we are conducting a census of the population.

A set of all elements we wish to study is called a ________.

The weight of a chemical compound used in an experiment that is obtained using a well-adjusted scale represents a(n) ________ level of measurement.

Statistical ________ refers to using a sample of measurements and making generalizations about the important aspects of a population.

Stratification can at times be combined with multistage cluster sampling to develop an appropriate sample.

The science of describing the important aspects of a set of measures is called statistical inference.

An individual collecting data directly through planned experimentation is obtaining primary data.

Any characteristic of an element is called a ________.

A person's telephone area code is an example of a(n) ________ variable.

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