Question 1

Which of the following represents the test statistic for a correlation coefficient?

Accepted Answer

A)    
B)  F 
C)  t 
D)  r 
A)    
B)  F 
C)  t 
D)  r D

Question 2

What are the null and research hypotheses for testing a correlation coefficient?

Accepted Answer

$$\text { The null hypothesis: } H _ { 0 } : \rho _ { x v } = 0 \text {; The research hypothesis: } H _ { 1 } : \rho _ { x v } \neq 0$$

Question 3

Which of the following Excel functions calculates a correlation coefficient similar to the CORREL function?

Accepted Answer

A)  PEARSON 
B)  PHI 
C)  POINT-BISERIAL 
D)  BISERIAL 
A)  PEARSON 
B)  PHI 
C)  POINT-BISERIAL 
D)  BISERIAL A

Question 4

If you are examining the relationship between variables (not the difference between groups) and only two variables are being used, what is the appropriate test statistic?

Accepted Answer

Under these conditio

Question 5

What does a correlation coefficient represent?

Accepted Answer

A correlation coefficient reflects the a

Question 6

Which of the following types of reliability correlates scores on a single measure on two different occasions?

Accepted Answer

A)  Test-retest 
B)  Interrater 
C)  Parallel forms 
D)  Internal consistency 
A)  Test-retest 
B)  Interrater 
C)  Parallel forms 
D)  Internal consistency

Question 7

What is the name of the Greek letter p?

Accepted Answer

A)  Phi 
B)  Rho 
C)  Chi 
D)  Alpha 
A)  Phi 
B)  Rho 
C)  Chi 
D)  Alpha

Question 8

The correlation coefficient is a measure of which of the following?

Accepted Answer

A)  Mean differences 
B)  Causation 
C)  Prediction 
D)  Association 
A)  Mean differences 
B)  Causation 
C)  Prediction 
D)  Association

Question 9

What are measures that occur at the same time known as?

Accepted Answer

A)  Predictive measures 
B)  Longitudinal measures 
C)  Concurrent measures 
D)  Consecutive measures 
A)  Predictive measures 
B)  Longitudinal measures 
C)  Concurrent measures 
D)  Consecutive measures

Question 10

How would you decide whether to use a one-tailed or two-tailed test for a correlation coefficient?

Accepted Answer

You would use a one-tailed test if you p

Question 11

In the formula for calculating degrees of freedom for a correlation coefficient, what does the n represent?

Accepted Answer

A)  Sample size 
B)  Number of groups 
C)  Number of pairs 
D)  Population 
A)  Sample size 
B)  Number of groups 
C)  Number of pairs 
D)  Population

Question 12

If you posit a relationship between two variables as being either positive or negative, what type of test should you use?

Accepted Answer

A)  Two-tailed 
B)  ANOVA 
C)  One-tailed 
D)  Cohen's d 
A)  Two-tailed 
B)  ANOVA 
C)  One-tailed 
D)  Cohen's d

Question 13

The level of risk or Type I error typically set for testing the level of significance of a correlation coefficient is which of the following?

Accepted Answer

A)  .01 
B)  .50 
C)  .05 
D)  .10 
A)  .01 
B)  .50 
C)  .05 
D)  .10

Question 14

If you think that there is a positive correlation between two variables, is the test one-tailed or two tailed? If you hypothesize that there is a negative correlation between two variables, is the test one-tailed or two-tailed?

Accepted Answer

In both of these sit

Question 15

If you do not predict a relationship between two variables as being either positive or negative, what type of test should you use?

Accepted Answer

A)  Two-tailed 
B)  ANOVA 
C)  One-tailed 
D)  Cohen's d 
A)  Two-tailed 
B)  ANOVA 
C)  One-tailed 
D)  Cohen's d

Question 16

What two test statistics can be used to test the significance of a correlation coefficient?

Accepted Answer

The correlation coef

Question 17

If the correlation between two variables is .496, how much of the variance has not been accounted for?

Accepted Answer

If the correlation between two

Question 18

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

Accepted Answer

A)  246 
B) 496 
C)  504 
D)  754 
A)  246 
B) 496 
C)  504 
D)  754

Question 19

If the correlation between two variables is .496, how much of the variance has not been accounted for?

Accepted Answer

A)  24.6% 
B)  49.6% 
C)  50.4% 
D)  75.4% 
A)  24.6% 
B)  49.6% 
C)  50.4% 
D)  75.4%

Question 20

Measures that occur over a period of time are known as?

Accepted Answer

A)  Predictive measures 
B)  Longitudinal measures 
C)  Concurrent measures 
D)  Consecutive measures 
A)  Predictive measures 
B)  Longitudinal measures 
C)  Concurrent measures 
D)  Consecutive measures

Which of the following represents the test statistic for a correlation coefficient?

What are the null and research hypotheses for testing a correlation coefficient?

Which of the following Excel functions calculates a correlation coefficient similar to the CORREL function?

If you are examining the relationship between variables (not the difference between groups) and only two variables are being used, what is the appropriate test statistic?

What does a correlation coefficient represent?

Which of the following types of reliability correlates scores on a single measure on two different occasions?

What is the name of the Greek letter p?

The correlation coefficient is a measure of which of the following?

What are measures that occur at the same time known as?

How would you decide whether to use a one-tailed or two-tailed test for a correlation coefficient?

In the formula for calculating degrees of freedom for a correlation coefficient, what does the n represent?

If you posit a relationship between two variables as being either positive or negative, what type of test should you use?

The level of risk or Type I error typically set for testing the level of significance of a correlation coefficient is which of the following?

If you think that there is a positive correlation between two variables, is the test one-tailed or two tailed? If you hypothesize that there is a negative correlation between two variables, is the test one-tailed or two-tailed?

If you do not predict a relationship between two variables as being either positive or negative, what type of test should you use?

What two test statistics can be used to test the significance of a correlation coefficient?

If the correlation between two variables is .496, how much of the variance has not been accounted for?

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

If the correlation between two variables is .496, how much of the variance has not been accounted for?

Measures that occur over a period of time are known as?

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

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

Which of the following represents the test statistic for a correlation coefficient?

What are the null and research hypotheses for testing a correlation coefficient?

Which of the following Excel functions calculates a correlation coefficient similar to the CORREL function?

If you are examining the relationship between variables (not the difference between groups) and only two variables are being used, what is the appropriate test statistic?

What does a correlation coefficient represent?

Which of the following types of reliability correlates scores on a single measure on two different occasions?

What is the name of the Greek letter p?

The correlation coefficient is a measure of which of the following?

What are measures that occur at the same time known as?

How would you decide whether to use a one-tailed or two-tailed test for a correlation coefficient?

In the formula for calculating degrees of freedom for a correlation coefficient, what does the n represent?

If you posit a relationship between two variables as being either positive or negative, what type of test should you use?

The level of risk or Type I error typically set for testing the level of significance of a correlation coefficient is which of the following?

If you think that there is a positive correlation between two variables, is the test one-tailed or two tailed? If you hypothesize that there is a negative correlation between two variables, is the test one-tailed or two-tailed?

If you do not predict a relationship between two variables as being either positive or negative, what type of test should you use?

What two test statistics can be used to test the significance of a correlation coefficient?

If the correlation between two variables is .496, how much of the variance has not been accounted for?

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

If the correlation between two variables is .496, how much of the variance has not been accounted for?

Measures that occur over a period of time are known as?

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