Question 1

Correlation can be affected by the measurement scales applied to X and Y variables.

Accepted Answer

A) True 
 B)False  False

Question 2

Problems in data analysis where we want to compare a numerical variable across two or more subpopulations are called comparison problems.

Accepted Answer

A) True 
 B)False  True

Question 3

If the correlation of variables is close to 0,then we expect to see

Accepted Answer

A)  an upward sloping cluster of points on the scatterplot 
B)  a downward sloping cluster of points on the scatterplot 
C)  a cluster of points around a trendline on the scatterplot 
D)  a cluster of points with no apparent relationship on the scatterplot 
E)  no explanation of what the scatterplot should look like based on the correlation 
A)  an upward sloping cluster of points on the scatterplot 
B)  a downward sloping cluster of points on the scatterplot 
C)  a cluster of points around a trendline on the scatterplot 
D)  a cluster of points with no apparent relationship on the scatterplot 
E)  no explanation of what the scatterplot should look like based on the correlation D

Question 4

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 5

One characteristic of "paired variables" is

Accepted Answer

A)  one is a negative value and the other is a positive value 
B)  both are positive values 
C)  they have the same number of observations 
D)  they have a variable number of observations 
A)  one is a negative value and the other is a positive value 
B)  both are positive values 
C)  they have the same number of observations 
D)  they have a variable number of observations

Question 6

It is possible that the data points are close to a curve and have a correlation close to 0,because correlation is relevant only for measuring linear relationships.

Accepted Answer

A) True 
 B)False

Question 7

If the standard deviations of X and Y are 15.5 and 10.8,respectively,and the covariance of X and Y is 128.8,then the coefficient of correlation r is approximately 0.77.

Accepted Answer

A) True 
 B)False

Question 8

We are usually on the lookout for large correlations near

Accepted Answer

A)  +1 
B)  -1 
C)  Either of these options 
D)  Neither of these options 
A)  +1 
B)  -1 
C)  Either of these options 
D)  Neither of these options

Question 9

The advantage that the coefficient of correlation has over the covariance is that the former has a set lower and upper limit.

Accepted Answer

A) True 
 B)False

Question 10

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)  automatically calculating covariances 
E)  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)  automatically calculating covariances 
E)  measuring the strength of a nonlinear relationship

Question 11

The Filters field of a pivot table contains the data you want summarize.

Accepted Answer

A) True 
 B)False

Question 12

Tables used to display counts of a categorical variable are called

Accepted Answer

A)  crosstabs 
B)  contingency tables 
C)  both of these options 
D)  neither of these options 
A)  crosstabs 
B)  contingency tables 
C)  both of these options 
D)  neither of these options

Question 13

A useful way of comparing the distribution of a numerical variable across categories of some categorical variable is

Accepted Answer

A)  side-by-side box plot 
B)  side-by-side pivot table 
C)  both of these options 
D)  neither of these options 
A)  side-by-side box plot 
B)  side-by-side pivot table 
C)  both of these options 
D)  neither of these options

Question 14

If the coefficient of correlation r = 0 .80,the standard deviations of X and Y are 20 and 25,respectively,then Cov(X,Y)must be 400.

Accepted Answer

A) True 
 B)False

Question 15

We study relationships among numerical variables using

Accepted Answer

A)  correlation 
B)  covariance 
C)  scatterplot charts 
D)  all of these options 
E)  none of these options 
A)  correlation 
B)  covariance 
C)  scatterplot charts 
D)  all of these options 
E)  none of these options

Question 16

Correlation is a single-number summary of a scatterplot.

Accepted Answer

A) True 
 B)False

Question 17

Which of the following are considered numerical summary measures?

Accepted Answer

A)  mean and variance 
B)  variance and correlation 
C)  correlation and covariance 
D)  covariance and variance 
E)  first quartile and third quartile 
A)  mean and variance 
B)  variance and correlation 
C)  correlation and covariance 
D)  covariance and variance 
E)  first quartile and third quartile

Question 18

Relationships between two variables are less evident when counts are expressed as percentages of row totals or column totals.

Accepted Answer

A) True 
 B)False

Question 19

Example 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)  Starting salary of recent graduates broken down by academic major 
E)  all of these options 
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)  Starting salary of recent graduates broken down by academic major 
E)  all of these options

Question 20

The Excel function that allows you to count using more than one criterion is

Accepted Answer

A)  COUNTIF 
B)  COUNTIFS 
C)  SUMPRODUCT 
D)  VLOOKUP 
E)  HLOOKUP 
A)  COUNTIF 
B)  COUNTIFS 
C)  SUMPRODUCT 
D)  VLOOKUP 
E)  HLOOKUP

Correlation can be affected by the measurement scales applied to X and Y variables.

Problems in data analysis where we want to compare a numerical variable across two or more subpopulations are called comparison problems.

If the correlation of variables is close to 0,then we expect to see

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

One characteristic of "paired variables" is

It is possible that the data points are close to a curve and have a correlation close to 0,because correlation is relevant only for measuring linear relationships.

If the standard deviations of X and Y are 15.5 and 10.8,respectively,and the covariance of X and Y is 128.8,then the coefficient of correlation r is approximately 0.77.

We are usually on the lookout for large correlations near

The advantage that the coefficient of correlation has over the covariance is that the former has a set lower and upper limit.

Correlation is useful only for

The Filters field of a pivot table contains the data you want summarize.

Tables used to display counts of a categorical variable are called

A useful way of comparing the distribution of a numerical variable across categories of some categorical variable is

If the coefficient of correlation r = 0 .80,the standard deviations of X and Y are 20 and 25,respectively,then Cov(X,Y)must be 400.

We study relationships among numerical variables using

Correlation is a single-number summary of a scatterplot.

Which of the following are considered numerical summary measures?

Relationships between two variables are less evident when counts are expressed as percentages of row totals or column totals.

Example of comparison problems include

The Excel function that allows you to count using more than one criterion is

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential 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

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 3: Finding Relationships Among Variables

Correlation can be affected by the measurement scales applied to X and Y variables.

Problems in data analysis where we want to compare a numerical variable across two or more subpopulations are called comparison problems.

If the correlation of variables is close to 0,then we expect to see

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

One characteristic of "paired variables" is

It is possible that the data points are close to a curve and have a correlation close to 0,because correlation is relevant only for measuring linear relationships.

If the standard deviations of X and Y are 15.5 and 10.8,respectively,and the covariance of X and Y is 128.8,then the coefficient of correlation r is approximately 0.77.

We are usually on the lookout for large correlations near

The advantage that the coefficient of correlation has over the covariance is that the former has a set lower and upper limit.

Correlation is useful only for

The Filters field of a pivot table contains the data you want summarize.

Tables used to display counts of a categorical variable are called

A useful way of comparing the distribution of a numerical variable across categories of some categorical variable is

If the coefficient of correlation r = 0 .80,the standard deviations of X and Y are 20 and 25,respectively,then Cov(X,Y)must be 400.

We study relationships among numerical variables using

Correlation is a single-number summary of a scatterplot.

Which of the following are considered numerical summary measures?

Relationships between two variables are less evident when counts are expressed as percentages of row totals or column totals.

Example of comparison problems include

The Excel function that allows you to count using more than one criterion is

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential 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

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters