Question 1

A _____ is a subset of the units in a population.

Accepted Answer

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

Question 2

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

Accepted Answer

A) True 
 B)False

Question 3

The goal of _____ is to stabilize and reduce the amount of process variation.

Accepted Answer

A) Statistical Process Control 
B) census taking 
C) random sampling 
D) statistical analysis 
A) Statistical Process Control 
B) census taking 
C) random sampling 
D) statistical analysis

Question 4

A process that is in statistical control does not necessarily imply that the process is __________.

Accepted Answer

A) statistically random 
B) using a quantitative variable 
C) observational 
D) capable 
A) statistically random 
B) using a quantitative variable 
C) observational 
D) capable

Question 5

When we are choosing a random sample and we do not place chosen units back into the population,we are:

Accepted Answer

A) Sampling with Replacement 
B) Sampling without Replacement 
C) Using a Systematic Sample 
D) Using a Voluntary Response Sample 
A) Sampling with Replacement 
B) Sampling without Replacement 
C) Using a Systematic Sample 
D) Using a Voluntary Response Sample

Question 6

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

Question 7

A runs plot with an erratic pattern would indicate that the process is _____.

Accepted Answer

A) in control 
B) out of control 
C) random 
D) fluctuating 
A) in control 
B) out of control 
C) random 
D) fluctuating

Question 8

A set of existing units we wish to study is called a _____.

Accepted Answer

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

Question 9

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

Question 10

A _____ is an examination of all the units in a population.

Accepted Answer

A) random sampling with replacement 
B) random sampling without replacement 
C) statistical inference 
D) census 
A) random sampling with replacement 
B) random sampling without replacement 
C) statistical inference 
D) census

Question 11

The number of miles a truck is driven before it is overhauled 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

Question 12

_____ refers to describing the important aspects of a set of measurements.

Accepted Answer

A) Statistical Process Control 
B) Runs plot 
C) Descriptive statistics 
D) Times Series plot 
A) Statistical Process Control 
B) Runs plot 
C) Descriptive statistics 
D) Times Series plot

Question 13

An example of a qualitative variable is the mileage of a car.

Accepted Answer

A) True 
 B)False

Question 14

Temperature (in degrees Fahrenheit)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 _____ is a subset of the units in a population.

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

The goal of _____ is to stabilize and reduce the amount of process variation.

A process that is in statistical control does not necessarily imply that the process is __________.

When we are choosing a random sample and we do not place chosen units back into the population,we are:

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

A runs plot with an erratic pattern would indicate that the process is _____.

A set of existing units we wish to study is called a _____.

Which of the following is a categorical variable?

A _____ is an examination of all the units in a population.

The number of miles a truck is driven before it is overhauled is an example of a(n)_____________ variable.

_____ refers to describing the important aspects of a set of measurements.

An example of a qualitative variable is the mileage of a car.

Temperature (in degrees Fahrenheit)is an example of a(n)________ variable.

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and 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

Model Building and Model Diagnostics

Time Series Forecasting

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Exam 1: An Introduction to Business Statistics

A _____ is a subset of the units in a population.

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

The goal of _____ is to stabilize and reduce the amount of process variation.

A process that is in statistical control does not necessarily imply that the process is __________.

When we are choosing a random sample and we do not place chosen units back into the population,we are:

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

A runs plot with an erratic pattern would indicate that the process is _____.

A set of existing units we wish to study is called a _____.

Which of the following is a categorical variable?

A _____ is an examination of all the units in a population.

The number of miles a truck is driven before it is overhauled is an example of a(n)_____________ variable.

_____ refers to describing the important aspects of a set of measurements.

An example of a qualitative variable is the mileage of a car.

Temperature (in degrees Fahrenheit)is an example of a(n)________ variable.

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and 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

Model Building and Model Diagnostics

Time Series Forecasting

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters