Question 1

What is the most important characteristic of a correlation coefficient?

Accepted Answer

A)  Sign 
B)  Absolute value 
C)  One-tailed 
D)  Two-tailed 
A)  Sign 
B)  Absolute value 
C)  One-tailed 
D)  Two-tailed

Question 2

How do you calculate the degrees of freedom when testing the correlation coefficient?

Accepted Answer

df = n - 2 for a cor

Question 3

Which of the following is the appropriate method for calculating the degrees of freedom associated with a correlation coefficient?

Accepted Answer

A)  n - 1 
B)  n - 2 
C)  n - 3 
D)  n - 4 
A)  n - 1 
B)  n - 2 
C)  n - 3 
D)  n - 4

Question 4

Which of the following Greek symbols is used to represent the population estimate for a correlation coefficient?

Accepted Answer

A)  $\alpha$ 
B)  X 
C)  $\pi$ 
D)  $\rho$ 
A)  $\alpha$ 
B)  X 
C)  $\pi$ 
D)  $\rho$

Question 5

What is another term for a positive correlation?

Accepted Answer

A)  Indirect 
B)  Nondirectional 
C)  Direct 
D)  Unidirectional 
A)  Indirect 
B)  Nondirectional 
C)  Direct 
D)  Unidirectional

Question 6

What is another term for a negative correlation?

Accepted Answer

A)  Indirect 
B)  Nondirectional 
C)  Direct 
D)  Unidirectional 
A)  Indirect 
B)  Nondirectional 
C)  Direct 
D)  Unidirectional

Question 7

Which of the following is an example of a research hypothesis for testing a correlation coefficient?

Accepted Answer

A)  $H _ { 1 : } \rho _ { x v } \neq 0$ 
B)  $H _ { 1 : } : \rho _ { x w } = 0$ 
C)  $H _ { 0 } : \rho _ { x v } = 0$ 
D)  $H _ { 0 } : \rho _ { x w } \neq 0$ 
A)  $H _ { 1 : } \rho _ { x v } \neq 0$ 
B)  $H _ { 1 : } : \rho _ { x w } = 0$ 
C)  $H _ { 0 } : \rho _ { x v } = 0$ 
D)  $H _ { 0 } : \rho _ { x w } \neq 0$

Question 8

If the correlation between two variables is .496, what is the coefficient of determination?

Accepted Answer

If the correlation b

Question 9

Although you can use the correlation coefficient as its own test statistic, what is the other appropriate test statistic often used to examine the significance of a correlation?

Accepted Answer

A)  F test 
B)  Cohen's d 
C)  t test 
D)   
A)  F test 
B)  Cohen's d 
C)  t test 
D)

Question 10

What are the considerations/requirements one must follow in order to know that a test of the correlation coefficient is the appropriate statistic?

Accepted Answer

First, a correlation is the co

Question 11

Which of the following is another use for correlation coefficients?

Accepted Answer

A)  Testing mean differences 
B)  Testing causal relationships 
C)  Estimating reliability 
D)  Estimating power 
A)  Testing mean differences 
B)  Testing causal relationships 
C)  Estimating reliability 
D)  Estimating power

Question 12

Which of the following is an example of a null hypothesis for testing a correlation coefficient?

Accepted Answer

A)  $H _ { 1 : } \rho _ { x v } \neq 0$ 
B)  $H _ { 1 : } : \rho _ { x w } = 0$ 
C)  $H _ { 0 } : \rho _ { x v } = 0$ 
D)  $H _ { 0 } : \rho _ { x w } \neq 0$ 
A)  $H _ { 1 : } \rho _ { x v } \neq 0$ 
B)  $H _ { 1 : } : \rho _ { x w } = 0$ 
C)  $H _ { 0 } : \rho _ { x v } = 0$ 
D)  $H _ { 0 } : \rho _ { x w } \neq 0$

What is the most important characteristic of a correlation coefficient?

How do you calculate the degrees of freedom when testing the correlation coefficient?

Which of the following is the appropriate method for calculating the degrees of freedom associated with a correlation coefficient?

Which of the following Greek symbols is used to represent the population estimate for a correlation coefficient?

What is another term for a positive correlation?

What is another term for a negative correlation?

Which of the following is an example of a research hypothesis for testing a correlation coefficient?

If the correlation between two variables is .496, what is the coefficient of determination?

Although you can use the correlation coefficient as its own test statistic, what is the other appropriate test statistic often used to examine the significance of a correlation?

What are the considerations/requirements one must follow in order to know that a test of the correlation coefficient is the appropriate statistic?

Which of the following is another use for correlation coefficients?

Which of the following is an example of a null hypothesis for testing a correlation coefficient?

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Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Significantly Significant: What It Means for You and Me

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t(ea) for Two (Again): Tests Between the Means of Related Groups

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Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

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Exam 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

What is the most important characteristic of a correlation coefficient?

How do you calculate the degrees of freedom when testing the correlation coefficient?

Which of the following is the appropriate method for calculating the degrees of freedom associated with a correlation coefficient?

Which of the following Greek symbols is used to represent the population estimate for a correlation coefficient?

What is another term for a positive correlation?

What is another term for a negative correlation?

Which of the following is an example of a research hypothesis for testing a correlation coefficient?

If the correlation between two variables is .496, what is the coefficient of determination?

Although you can use the correlation coefficient as its own test statistic, what is the other appropriate test statistic often used to examine the significance of a correlation?

What are the considerations/requirements one must follow in order to know that a test of the correlation coefficient is the appropriate statistic?

Which of the following is another use for correlation coefficients?

Which of the following is an example of a null hypothesis for testing a correlation coefficient?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Significantly Significant: What It Means for You and Me

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

Filters