Question 1

Secondary data are data taken from an existing source.

Accepted Answer

A) True 
 B)False

Question 2

The number of sick days taken by employees in 2008 for the top 10 technology companies is an example of time series data.

Accepted Answer

A) True 
 B)False

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

A sequence of operations that takes inputs and turns them into outputs is a ________.

Accepted Answer

A)  process 
B)  statistical inference 
C)  runs plot 
D)  random sampling 
A)  process 
B)  statistical inference 
C)  runs plot 
D)  random sampling

Question 5

Convenience sampling is a type of probability sampling in which we select elements to sample because we believe they have the highest probability of responding.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following is not an example of unethical statistical practices?

Accepted Answer

A)  inappropriate interpretation of statistical results 
B)  using graphs to make statistical inferences 
C)  improper sampling 
D)  descriptive measures that mislead the user 
E)  None of the other answers is correct. 
A)  inappropriate interpretation of statistical results 
B)  using graphs to make statistical inferences 
C)  improper sampling 
D)  descriptive measures that mislead the user 
E)  None of the other answers is correct.

Question 7

________ is a necessary component of a runs plot.

Accepted Answer

A)  Observation over time 
B)  Qualitative variable 
C)  Random sampling of the data 
D)  Cross-sectional data 
A)  Observation over time 
B)  Qualitative variable 
C)  Random sampling of the data 
D)  Cross-sectional data

Question 8

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

Accepted Answer

A)  Cross-sectional analysis 
B)  Runs plot 
C)  Descriptive statistics 
D)  Time series analysis 
A)  Cross-sectional analysis 
B)  Runs plot 
C)  Descriptive statistics 
D)  Time series analysis

Question 9

In an observational study, the variable of interest is called a response variable.

Accepted Answer

A) True 
 B)False

Question 10

In order to select a stratified random sample, we divide the population into overlapping groups of similar elements.

Accepted Answer

A) True 
 B)False

Question 11

Judgment sampling occurs when a person who is extremely knowledgeable about the population under consideration selects the population elements that they feel are most representative of the population.

Accepted Answer

A) True 
 B)False

Question 12

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 13

________ consists of a set of concepts and techniques that are used to describe populations and samples and to make statistical inferences about populations by using samples.

Accepted Answer

A)  Traditional statistics 
B)  Random sampling 
C)  Data mining 
D)  Time series analysis 
A)  Traditional statistics 
B)  Random sampling 
C)  Data mining 
D)  Time series analysis

Question 14

In systematic sampling, the first element is randomly selected from the first (N/n) elements.

Accepted Answer

A) True 
 B)False

Question 15

Business analytics is a new field that does not use traditional statistics to analyze big data.

Accepted Answer

A) True 
 B)False

Question 16

By taking a systematic sample in which we select every 100th shopper arriving at a specific store, we are approximating a random sample of shoppers.

Accepted Answer

A) True 
 B)False

Question 17

Using the following data table of the average hours per week spent on Internet activities by 15- to 18-year-olds for the years 1999 to 2008, construct the runs plot and interpret.

Accepted Answer

@#IMG-DLM& Displaying the average hours spent on I

Question 18

Nonoverlapping groups of similar elements in a population are called

Accepted Answer

A)  clusters. 
B)  frames. 
C)  strata. 
D)  stages. 
A)  clusters. 
B)  frames. 
C)  strata. 
D)  stages.

Question 19

In an experimental study, the aim is to manipulate or set the value of the response variable.

Accepted Answer

A) True 
 B)False

Question 20

Looking at the runs plot of gasoline prices over the past 30 months, describe what it tells us about the price of gas during these 30 months.

Accepted Answer

@#IMG-DLM& The price of gas peaked in the seventh

Secondary data are data taken from an existing source.

The number of sick days taken by employees in 2008 for the top 10 technology companies is an example of time series data.

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

A sequence of operations that takes inputs and turns them into outputs is a ________.

Convenience sampling is a type of probability sampling in which we select elements to sample because we believe they have the highest probability of responding.

Which of the following is not an example of unethical statistical practices?

________ is a necessary component of a runs plot.

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

In an observational study, the variable of interest is called a response variable.

In order to select a stratified random sample, we divide the population into overlapping groups of similar elements.

Judgment sampling occurs when a person who is extremely knowledgeable about the population under consideration selects the population elements that they feel are most representative of the population.

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

________ consists of a set of concepts and techniques that are used to describe populations and samples and to make statistical inferences about populations by using samples.

In systematic sampling, the first element is randomly selected from the first (N/n) elements.

Business analytics is a new field that does not use traditional statistics to analyze big data.

By taking a systematic sample in which we select every 100th shopper arriving at a specific store, we are approximating a random sample of shoppers.

Using the following data table of the average hours per week spent on Internet activities by 15- to 18-year-olds for the years 1999 to 2008, construct the runs plot and interpret.

Nonoverlapping groups of similar elements in a population are called

In an experimental study, the aim is to manipulate or set the value of the response variable.

Looking at the runs plot of gasoline prices over the past 30 months, describe what it tells us about the price of gas during these 30 months.

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

Secondary data are data taken from an existing source.

The number of sick days taken by employees in 2008 for the top 10 technology companies is an example of time series data.

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

A sequence of operations that takes inputs and turns them into outputs is a ________.

Convenience sampling is a type of probability sampling in which we select elements to sample because we believe they have the highest probability of responding.

Which of the following is not an example of unethical statistical practices?

________ is a necessary component of a runs plot.

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

In an observational study, the variable of interest is called a response variable.

In order to select a stratified random sample, we divide the population into overlapping groups of similar elements.

Judgment sampling occurs when a person who is extremely knowledgeable about the population under consideration selects the population elements that they feel are most representative of the population.

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

________ consists of a set of concepts and techniques that are used to describe populations and samples and to make statistical inferences about populations by using samples.

In systematic sampling, the first element is randomly selected from the first (N/n) elements.

Business analytics is a new field that does not use traditional statistics to analyze big data.

By taking a systematic sample in which we select every 100th shopper arriving at a specific store, we are approximating a random sample of shoppers.

Using the following data table of the average hours per week spent on Internet activities by 15- to 18-year-olds for the years 1999 to 2008, construct the runs plot and interpret.

Nonoverlapping groups of similar elements in a population are called

In an experimental study, the aim is to manipulate or set the value of the response variable.

Looking at the runs plot of gasoline prices over the past 30 months, describe what it tells us about the price of gas during these 30 months.

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