Question 1

What percentage of the students in the sample went partying the weekend before the final exam and did well in the exam?

Accepted Answer

22 out of

Question 2

Which of the following statements are false?

Accepted Answer

A) Contingency tables are traditional statistical terms for pivot tables that list counts. 
B) Time series plot is a chart showing behavior over time of a time series variable. 
C) Pivot table is a table in Excel that summarizes data broken down by one or more numerical variables. 
D) None of these options 
A) Contingency tables are traditional statistical terms for pivot tables that list counts. 
B) Time series plot is a chart showing behavior over time of a time series variable. 
C) Pivot table is a table in Excel that summarizes data broken down by one or more numerical variables. 
D) None of these options

Question 3

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 4

Which of the following are true statements of pivot tables?

Accepted Answer

A) They allow us to "slice and dice" data in a variety of ways. 
B) Statisticians often refer to them as contingency tables or crosstabs. 
C) Pivot tables can list counts,averages,sums,and other summary measures,whereas contingency tables list only counts. 
D) All of these options 
A) They allow us to "slice and dice" data in a variety of ways. 
B) Statisticians often refer to them as contingency tables or crosstabs. 
C) Pivot tables can list counts,averages,sums,and other summary measures,whereas contingency tables list only counts. 
D) All of these options

Question 5

The following scatterplot compares the selling price and the appraised value.   Is there a linear relationship between these two variables? If so,how would you characterize the relationship?

Accepted Answer

Yes,there is a linear relationship.Corre

Question 6

A the correlation 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 
C) A cluster of points around a trendline 
D) A cluster of points with no apparent relationship 
E) We cannot say 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 
C) A cluster of points around a trendline 
D) A cluster of points with no apparent relationship 
E) We cannot say what the scatterplot should look like based on the correlation

Question 7

Correlation and covariance can be used to examine relationships between numerical variables and categorical variables that have been coded numerically.

Accepted Answer

A) True 
 B)False

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

Correlation has the advantage of being in the same original units as the X and Y variables

Accepted Answer

A) True 
 B)False

Question 10

We can infer that there is a strong relationship between two numerical variables when

Accepted Answer

A) The points on a scatterplot cluster tightly around an upward sloping straight line 
B) The points on a scatterplot cluster tightly around a downward sloping straight line 
C) Either of these options 
D) Neither of these options 
A) The points on a scatterplot cluster tightly around an upward sloping straight line 
B) The points on a scatterplot cluster tightly around a downward sloping straight line 
C) Either of these options 
D) Neither of these options

Question 11

Generally speaking,if two variables are unrelated,the covariance will be a positive or negative number close to zero

Accepted Answer

A) True 
 B)False

Question 12

We study relationships among numerical variables using

Accepted Answer

A) Correlation 
B) Covariance 
C) Scatterplots 
D) All of these options 
E) None of these options 
A) Correlation 
B) Covariance 
C) Scatterplots 
D) All of these options 
E) None of these options

Question 13

Correlation is a single-number summary of a scatterplot

Accepted Answer

A) True 
 B)False

Question 14

Scatterplots are also referred to as

Accepted Answer

A) Crosstabs 
B) Contingency charts 
C) X-Y charts 
D) All of these options 
E) None of these options 
A) Crosstabs 
B) Contingency charts 
C) X-Y charts 
D) All of these options 
E) None of these options

Question 15

What other data would you need to be more confident that increased income inequality leads to lower unemployment?

Accepted Answer

The ratio given here is only one measure

Question 16

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 17

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

Question 18

Which of the following are considered measures of association?

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 19

What percentage of the students in the sample went partying the weekend before the final exam and did poorly on the exam?

Accepted Answer

53 out of

Question 20

Approximate the percentage of these internet users who are women in the 30-43 age group.

Accepted Answer

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

What percentage of the students in the sample went partying the weekend before the final exam and did well in the exam?

Which of the following statements are false?

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

Which of the following are true statements of pivot tables?

The following scatterplot compares the selling price and the appraised value. Is there a linear relationship between these two variables? If so,how would you characterize the relationship?

A the correlation is close to 0,then we expect to see

Correlation and covariance can be used to examine relationships between numerical variables and categorical variables that have been coded numerically.

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

Correlation has the advantage of being in the same original units as the X and Y variables

We can infer that there is a strong relationship between two numerical variables when

Generally speaking,if two variables are unrelated,the covariance will be a positive or negative number close to zero

We study relationships among numerical variables using

Correlation is a single-number summary of a scatterplot

Scatterplots are also referred to as

What other data would you need to be more confident that increased income inequality leads to lower unemployment?

We are usually on the lookout for large correlations near

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

Which of the following are considered measures of association?

What percentage of the students in the sample went partying the weekend before the final exam and did poorly on the exam?

Approximate the percentage of these internet users who are women in the 30-43 age group.

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 Modeling: Applications

Introduction to Simulation Modeling

Simulation Models

Filters

Exam 3: Finding Relationships Among Variables

What percentage of the students in the sample went partying the weekend before the final exam and did well in the exam?

Which of the following statements are false?

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

Which of the following are true statements of pivot tables?

The following scatterplot compares the selling price and the appraised value. Is there a linear relationship between these two variables? If so,how would you characterize the relationship?

A the correlation is close to 0,then we expect to see

Correlation and covariance can be used to examine relationships between numerical variables and categorical variables that have been coded numerically.

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

Correlation has the advantage of being in the same original units as the X and Y variables

We can infer that there is a strong relationship between two numerical variables when

Generally speaking,if two variables are unrelated,the covariance will be a positive or negative number close to zero

We study relationships among numerical variables using

Correlation is a single-number summary of a scatterplot

Scatterplots are also referred to as

What other data would you need to be more confident that increased income inequality leads to lower unemployment?

We are usually on the lookout for large correlations near

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

Which of the following are considered measures of association?

What percentage of the students in the sample went partying the weekend before the final exam and did poorly on the exam?

Approximate the percentage of these internet users who are women in the 30-43 age group.

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 Modeling: Applications

Introduction to Simulation Modeling

Simulation Models

Filters