Question 1

Which of the following correlation coefficients indicates the weakest relationship?

Accepted Answer

A)  -.60 
B)  -.42 
C)  +.55 
D)  +.80 
A)  -.60 
B)  -.42 
C)  +.55 
D)  +.80

Question 2

For variables X and Y, given a correlation coefficient of +.75, which one of the following is a correct statement?

Accepted Answer

A)  As X decreases, Y decreases 
B)  As X decreases, Y increases 
C)  As X increases, Y decreases 
D)  X causes Y 
A)  As X decreases, Y decreases 
B)  As X decreases, Y increases 
C)  As X increases, Y decreases 
D)  X causes Y

Question 3

If the kindergarten readiness and IQ are strongly negatively correlated, then those with lower IQ tend to be more prepared for kindergarten.

Accepted Answer

A) True 
 B)False

Question 4

For variables X and Y, given a correlation coefficient of -.95, which one of the following is a correct statement?

Accepted Answer

A)  As X decreases, Y decreases 
B)  As X increases, Y increases 
C)  As X increases, Y decreases 
D)  X causes Y 
A)  As X decreases, Y decreases 
B)  As X increases, Y increases 
C)  As X increases, Y decreases 
D)  X causes Y

Question 5

Jasmine collects data on a random sample of 100 rollercoasters around the country. She collects data on the following: 1) height of highest peak on the coaster (measured in feet; ratio measurement scale) and 2) length of the coaster (measured in feet; ratio measurement scale). She is interested in examining if there is a relationship between the highest peak and length of the rollercoaster. Which statistical procedure is most appropriate to use to test the hypothesis?

Accepted Answer

A)  Pearson correlation coefficient 
B)  Phi coefficient 
C)  Spearman or Kendall tau's correlation coefficient 
A)  Pearson correlation coefficient 
B)  Phi coefficient 
C)  Spearman or Kendall tau's correlation coefficient

Question 6

Mark wants to know if there is a relationship between men's height and shirt size. He randomly samples 100 men and gathers data on two variables: 1) height in inches (ratio measurement scale); and 2) shirt size (small, medium, large). Which statistical procedure is most appropriate to use to test the hypothesis?

Accepted Answer

A)  Pearson correlation coefficient 
B)  Phi coefficient 
C)  Spearman or Kendall tau's correlation coefficient 
A)  Pearson correlation coefficient 
B)  Phi coefficient 
C)  Spearman or Kendall tau's correlation coefficient

Question 7

The variance of X is 36, the variance of Y is 36, and the covariance between X and Y is 49. What is rXY?

Accepted Answer

A)  .20 
B)  .36 
C)  .42 
D)  .49 
A)  .20 
B)  .36 
C)  .42 
D)  .49

Question 8

For variables X and Y, given a correlation coefficient of +.80, which one of the following is a correct statement?

Accepted Answer

A)  As X decreases, Y decreases 
B)  As X decreases, Y increases 
C)  As X increases, Y decreases 
D)  X causes Y 
A)  As X decreases, Y decreases 
B)  As X decreases, Y increases 
C)  As X increases, Y decreases 
D)  X causes Y

Question 9

Matthew is a speech writer for politicians. He wants to know if there is a relationship between the number of words in campaign speeches and the number of votes obtained. He randomly samples 50 politicians and gathers data on two variables: 1) the number of words used in their last known campaign speech (ratio level measurement scale); and 2) the number of votes received (ratio level measurement scale). Which statistical procedure is most appropriate to use to test the hypothesis?

Accepted Answer

A)  Pearson correlation coefficient 
B)  Phi coefficient 
C)  Spearman or Kendall tau's correlation coefficient 
A)  Pearson correlation coefficient 
B)  Phi coefficient 
C)  Spearman or Kendall tau's correlation coefficient

Question 10

Which of the following correlation coefficients indicates the strongest relationship?

Accepted Answer

A)  -.77 
B)  -.25 
C)  +.10 
D)  +.50 
A)  -.77 
B)  -.25 
C)  +.10 
D)  +.50

Which of the following correlation coefficients indicates the weakest relationship?

For variables X and Y, given a correlation coefficient of +.75, which one of the following is a correct statement?

If the kindergarten readiness and IQ are strongly negatively correlated, then those with lower IQ tend to be more prepared for kindergarten.

For variables X and Y, given a correlation coefficient of -.95, which one of the following is a correct statement?

The variance of X is 36, the variance of Y is 36, and the covariance between X and Y is 49. What is r_XY?

For variables X and Y, given a correlation coefficient of +.80, which one of the following is a correct statement?

Which of the following correlation coefficients indicates the strongest relationship?

Introduction

Data Representation

Univariate Population Parameters and Sample Statistics

Normal Distribution and Standard Scores

Introduction to Probability and Sample Statistics

Inferences About a Single Mean

Inferences About the Difference Between Two Means

Inferences About Proportions

Inferences About Variances

One-Factor Anova: Fixed-Effects Model

Multiple Comparison Procedures

Factorial Anova: Fixed-Effects Model

One-Factor Fixed-Effects Ancova With Single Covariate

Random- and Mixed-Effects Analysis of Variance Models

Hierarchical and Randomized Block Analysis of Variance Models

Simple Linear Regression

Multiple Regression

Logistic Regression

Filters

Exam 10: Bivariate Measures of Association

Which of the following correlation coefficients indicates the weakest relationship?

For variables X and Y, given a correlation coefficient of +.75, which one of the following is a correct statement?

If the kindergarten readiness and IQ are strongly negatively correlated, then those with lower IQ tend to be more prepared for kindergarten.

For variables X and Y, given a correlation coefficient of -.95, which one of the following is a correct statement?

The variance of X is 36, the variance of Y is 36, and the covariance between X and Y is 49. What is rXY?

For variables X and Y, given a correlation coefficient of +.80, which one of the following is a correct statement?

Which of the following correlation coefficients indicates the strongest relationship?

Introduction

Data Representation

Univariate Population Parameters and Sample Statistics

Normal Distribution and Standard Scores

Introduction to Probability and Sample Statistics

Inferences About a Single Mean

Inferences About the Difference Between Two Means

Inferences About Proportions

Inferences About Variances

One-Factor Anova: Fixed-Effects Model

Multiple Comparison Procedures

Factorial Anova: Fixed-Effects Model

One-Factor Fixed-Effects Ancova With Single Covariate

Random- and Mixed-Effects Analysis of Variance Models

Hierarchical and Randomized Block Analysis of Variance Models

Simple Linear Regression

Multiple Regression

Logistic Regression

Filters

The variance of X is 36, the variance of Y is 36, and the covariance between X and Y is 49. What is r_XY?