Question 1

Approximate the percentage of these Internet users who are currently employed.

Accepted Answer

Approximately 77%

Question 2

We can use side-by-side boxplots to compare at most 2 distributions of numeric data.

Accepted Answer

A) True 
 B)False  False

Question 3

Scatterplots are also referred to as

Accepted Answer

A) crosstabs. 
B) contingency charts. 
C) X-Y charts. 
D) all of these choices 
A) crosstabs. 
B) contingency charts. 
C) X-Y charts. 
D) all of these choices C

Question 4

Which correlation coefficient suggests the strongest relationship?

Accepted Answer

A) +1 
B) -1 
C) 0 
D) +0.5 
A) +1 
B) -1 
C) 0 
D) +0.5

Question 5

What is the average annual salary of the employed Internet users in this sample?

Accepted Answer

Approximat

Question 6

The limitation of covariance as a descriptive measure of association is that it

Accepted Answer

A) only captures positive relationships. 
B) does not capture the units of the variables. 
C) is very sensitive to the units of the variables. 
D) is invalid if one of the variables is categorical. 
A) only captures positive relationships. 
B) does not capture the units of the variables. 
C) is very sensitive to the units of the variables. 
D) is invalid if one of the variables is categorical.

Question 7

Statisticians often refer to the pivot tables that display counts as contingency tables or crosstabs.

Accepted Answer

A) True 
 B)False

Question 8

If the correlation of variables is close to 0,then we expect to see a(n)_____ on the scatterplot.

Accepted Answer

A) upward sloping cluster of points 
B) downward sloping cluster of points 
C) cluster of points around a trendline 
D) random scatter of points with no apparent relationship 
A) upward sloping cluster of points 
B) downward sloping cluster of points 
C) cluster of points around a trendline 
D) random scatter of points with no apparent relationship

Question 9

Which two variables have the strongest linear relationship with annual salary?

Accepted Answer

Age at 0.923 and Gamma experie

Question 10

We study relationships among numerical variables using

Accepted Answer

A) pie charts. 
B) counts. 
C) scatterplot charts. 
D) percentages. 
A) pie charts. 
B) counts. 
C) scatterplot charts. 
D) percentages.

Question 11

Side-by-side box plots allow you to quickly see how two or more categories of a numerical variable compare.

Accepted Answer

A) True 
 B)False

Question 12

Correlation is useful only for

Accepted Answer

A) assessing the weakness of a linear relationship. 
B) conveying the same information in a simpler format than a scatterplot. 
C) measuring the strength of a linear relationship. 
D) measuring the strength of a nonlinear relationship. 
A) assessing the weakness of a linear relationship. 
B) conveying the same information in a simpler format than a scatterplot. 
C) measuring the strength of a linear relationship. 
D) measuring the strength of a nonlinear relationship.

Question 13

Correlation is not useful for describing the strength and direction of nonlinear relationships.

Accepted Answer

A) True 
 B)False

Question 14

Approximate the percentage of these Internet users who are in the 58-71 age group.

Accepted Answer

The answer of Approximate the percentage of these Internet users...

Question 15

The cutoff for defining a large correlation is 0.5.

Accepted Answer

A) True 
 B)False

Question 16

The scatterplot is a graphical technique used to display the relationship between two numerical variables.

Accepted Answer

A) True 
 B)False

Question 17

We cannot attempt to interpret correlations numerically,with the one possible exception of indicating whether they are positive or negative.

Accepted Answer

A) True 
 B)False

Question 18

Correlation and covariance measure the

Accepted Answer

A) strength of a linear relationship between two numerical variables. 
B) direction of a linear relationship between two numerical variables. 
C) strength and direction of a linear relationship between two numerical variables. 
D) strength and direction of a linear relationship between two categorical variables. 
A) strength of a linear relationship between two numerical variables. 
B) direction of a linear relationship between two numerical variables. 
C) strength and direction of a linear relationship between two numerical variables. 
D) strength and direction of a linear relationship between two categorical variables.

Question 19

The four areas of a pivot table are

Accepted Answer

A) Crosstabs,Fields,Rows,and Columns. 
B) Data,Count,Contingency,and Percentage. 
C) Filters,Rows,Columns,and Values. 
D) Sort,Rows,Columns,and Count. 
A) Crosstabs,Fields,Rows,and Columns. 
B) Data,Count,Contingency,and Percentage. 
C) Filters,Rows,Columns,and Values. 
D) Sort,Rows,Columns,and Count.

Question 20

Examples of comparison problems include

Accepted Answer

A) salary broken down by male and female subpopulations. 
B) cost of living broken down by region of a country. 
C) recovery rate for a disease broken down by patients who have taken a drug and patients who have taken a placebo. 
D) all of these choices. 
A) salary broken down by male and female subpopulations. 
B) cost of living broken down by region of a country. 
C) recovery rate for a disease broken down by patients who have taken a drug and patients who have taken a placebo. 
D) all of these choices.

Approximate the percentage of these Internet users who are currently employed.

We can use side-by-side boxplots to compare at most 2 distributions of numeric data.

Scatterplots are also referred to as

Which correlation coefficient suggests the strongest relationship?

What is the average annual salary of the employed Internet users in this sample?

The limitation of covariance as a descriptive measure of association is that it

Statisticians often refer to the pivot tables that display counts as contingency tables or crosstabs.

If the correlation of variables is close to 0,then we expect to see a(n)_____ on the scatterplot.

Which two variables have the strongest linear relationship with annual salary?

We study relationships among numerical variables using

Side-by-side box plots allow you to quickly see how two or more categories of a numerical variable compare.

Correlation is useful only for

Correlation is not useful for describing the strength and direction of nonlinear relationships.

Approximate the percentage of these Internet users who are in the 58-71 age group.

The cutoff for defining a large correlation is 0.5.

The scatterplot is a graphical technique used to display the relationship between two numerical variables.

We cannot attempt to interpret correlations numerically,with the one possible exception of indicating whether they are positive or negative.

Correlation and covariance measure the

The four areas of a pivot table are

Examples of comparison problems include

Introduction to Business Analytics

Describing the Distribution of a Variable

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 3: Finding Relationships Among Variables

Approximate the percentage of these Internet users who are currently employed.

We can use side-by-side boxplots to compare at most 2 distributions of numeric data.

Scatterplots are also referred to as

Which correlation coefficient suggests the strongest relationship?

What is the average annual salary of the employed Internet users in this sample?

The limitation of covariance as a descriptive measure of association is that it

Statisticians often refer to the pivot tables that display counts as contingency tables or crosstabs.

If the correlation of variables is close to 0,then we expect to see a(n)_____ on the scatterplot.

Which two variables have the strongest linear relationship with annual salary?

We study relationships among numerical variables using

Side-by-side box plots allow you to quickly see how two or more categories of a numerical variable compare.

Correlation is useful only for

Correlation is not useful for describing the strength and direction of nonlinear relationships.

Approximate the percentage of these Internet users who are in the 58-71 age group.

The cutoff for defining a large correlation is 0.5.

The scatterplot is a graphical technique used to display the relationship between two numerical variables.

We cannot attempt to interpret correlations numerically,with the one possible exception of indicating whether they are positive or negative.

Correlation and covariance measure the

The four areas of a pivot table are

Examples of comparison problems include

Introduction to Business Analytics

Describing the Distribution of a Variable

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters