Question 1

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 2

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

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

Daily temperature in a local community collected over a 30-day time period is an example of cross-sectional data.

Accepted Answer

A) True 
 B)False

Question 5

__________ 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 6

The process of assigning a value of a variable to each element in a data set is called ___________.

Accepted Answer

A) Sampling 
B) Measurement 
C) Experimental analysis 
D) Observational analysis 
A) Sampling 
B) Measurement 
C) Experimental analysis 
D) Observational analysis

Question 7

______________ is the science of using a sample to make generalizations about the important aspects of a population.

Accepted Answer

A) Time series analysis 
B) Descriptive statistics 
C) Random sample 
D) Statistical inference 
A) Time series analysis 
B) Descriptive statistics 
C) Random sample 
D) Statistical inference

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

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 10

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 11

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

Accepted Answer

A) True 
 B)False

Question 12

A study is being conducted on the effect of gas price on the number of miles driven in a given month.Residents in two cities,one on the East Coast and one on the West Coast are randomly selected and asked to complete a questionnaire on the type of car they drive,the number of miles they live from work,the number of children under 18 in their household,their monthly income,and the number of miles they have driven over the past 30 days.List the response variable(s).

Accepted Answer

The response variabl

Question 13

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

Question 14

If we collect data on the number of wins each team in the NFL had during the 2011-12 season,we have _____________ data.

Accepted Answer

A) Cross-sectional 
B) Time series 
A) Cross-sectional 
B) Time series

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

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

Accepted Answer

A) True 
 B)False

Question 17

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 18

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 19

Using a nonrandom sample procedure in order to support a desired conclusion is an example of an unethical statistical procedure.

Accepted Answer

A) True 
 B)False

Question 20

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

Accepted Answer

@#IMG-DLM& Hours spent on the Internet h

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

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

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

Daily temperature in a local community collected over a 30-day time period is an example of cross-sectional data.

__________ is a necessary component of a runs plot.

The process of assigning a value of a variable to each element in a data set is called ___________.

______________ is the science of using a sample to make generalizations about the important aspects of a population.

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

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

Examining all population measurements is called a _____________.

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

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

If we collect data on the number of wins each team in the NFL had during the 2011-12 season,we have _____________ data.

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

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

The two types of quantitative variables are:

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

Using a nonrandom sample procedure in order to support a desired conclusion is an example of an unethical statistical procedure.

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

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 and Model Building

Process Improvement Using Control Charts

Filters

Exam 1: An Introduction to Business Statistics

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

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

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

Daily temperature in a local community collected over a 30-day time period is an example of cross-sectional data.

__________ is a necessary component of a runs plot.

The process of assigning a value of a variable to each element in a data set is called ___________.

______________ is the science of using a sample to make generalizations about the important aspects of a population.

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

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

Examining all population measurements is called a _____________.

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

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

If we collect data on the number of wins each team in the NFL had during the 2011-12 season,we have _____________ data.

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

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

The two types of quantitative variables are:

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

Using a nonrandom sample procedure in order to support a desired conclusion is an example of an unethical statistical procedure.

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

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 and Model Building

Process Improvement Using Control Charts

Filters