Question 1

What is the problem with the following data for computing a correlation?

Accepted Answer

A) The correlation coefficient will equal 0 because it violates the assumption of normality. 
B) The correlation coefficient will equal 1.0 because it violates the assumption of normality. 
C) The correlation coefficient will equal 0 because it violates the assumption of linearity. 
D) The correlation coefficient will equal 1.0 because it violates the assumption of linearity. 
A) The correlation coefficient will equal 0 because it violates the assumption of normality. 
B) The correlation coefficient will equal 1.0 because it violates the assumption of normality. 
C) The correlation coefficient will equal 0 because it violates the assumption of linearity. 
D) The correlation coefficient will equal 1.0 because it violates the assumption of linearity.

Question 2

The point-biserial correlation coefficient is used to measure the correlation between two dichotomous variables.

Accepted Answer

A) True 
 B)False

Question 3

If   = 3.84 and n = 36,then what is the value of r?

Accepted Answer

A) 0.11 
B) 0.16 
C) 0.33 
D) 0.36 
A) 0.11 
B) 0.16 
C) 0.33 
D) 0.36

Question 4

If   = 5.32 and n = 40,then what is the value of the coefficient of determination?

Accepted Answer

A) 0.133 
B) 0.36 
C) 0.64 
D) There is not enough information to answer this question. 
A) 0.133 
B) 0.36 
C) 0.64 
D) There is not enough information to answer this question.

Question 5

A correlation of r = .38 in a sample of 30 participants is statistically significant for a two-tailed test at a .05 level of significance.

Accepted Answer

A) True 
 B)False

Question 6

The Spearman correlation coefficient is used to measure the correlation between two nominal variables.

Accepted Answer

A) True 
 B)False

Question 7

The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between one continuous and one dichotomous variable is

Accepted Answer

A) the Spearman rank-order correlation coefficient 
B) the point-biserial correlation coefficient 
C) the phi correlation coefficient 
D) none of the above 
A) the Spearman rank-order correlation coefficient 
B) the point-biserial correlation coefficient 
C) the phi correlation coefficient 
D) none of the above

Question 8

Restriction of range occurs when an unanticipated variable not accounted for in a research study that could be causing or associated with observed changes in one or more measured variables.

Accepted Answer

A) True 
 B)False

Question 9

The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between two ranked or ordinal variables is

Accepted Answer

A) the Spearman correlation coefficient 
B) the point-biserial correlation coefficient 
C) the phi correlation coefficient 
D) none of the above 
A) the Spearman correlation coefficient 
B) the point-biserial correlation coefficient 
C) the phi correlation coefficient 
D) none of the above

Question 10

The Spearman rank-order correlation coefficient is a measure of the direction and strength of the linear relationship between two ________ variables.

Accepted Answer

A) nominal 
B) ordinal 
C) interval 
D) ratio 
A) nominal 
B) ordinal 
C) interval 
D) ratio

Question 11

The correlation coefficient varies between 0 and 1 and can never be negative.

Accepted Answer

A) True 
 B)False

Question 12

A researcher measures the correlation between the frequency of self-esteem (high,low)and health status (lean/healthy,overweight/obese).Based on the frequencies for each nominal category given below,what is the value of the phi correlation coefficient?

Accepted Answer

A) 0.08 
B) 0.28 
C) 0.52 
D) 0.56 
A) 0.08 
B) 0.28 
C) 0.52 
D) 0.56

Question 13

Linearity is the assumption that the best way to describe a pattern of data is using a straight line.

Accepted Answer

A) True 
 B)False

Question 14

The formula for the phi correlation coefficient was derived from the formula for the Pearson correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 15

A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule.Which description best explains the relationship between these two factors?

Accepted Answer

A) The more a person works,the more coffee he or she tends to drink. 
B) The less a person works,the more coffee he or she tends to drink. 
C) The more a person works,the less coffee he or she tends to drink. 
D) No linear pattern is evident. 
A) The more a person works,the more coffee he or she tends to drink. 
B) The less a person works,the more coffee he or she tends to drink. 
C) The more a person works,the less coffee he or she tends to drink. 
D) No linear pattern is evident.

Question 16

The correlation coefficient is used to measure the ________ and ________ of the linear relationship between two factors.

Accepted Answer

A) date;time 
B) mean;variance 
C) significance;effect size 
D) strength;direction 
A) date;time 
B) mean;variance 
C) significance;effect size 
D) strength;direction

Question 17

A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called

Accepted Answer

A) effect size 
B) power 
C) a correlation 
D) coincidence 
A) effect size 
B) power 
C) a correlation 
D) coincidence

Question 18

The coefficient of determination is mathematically equivalent to

Accepted Answer

A) the correlation coefficient 
B) omega-squared 
C) eta-squared 
D) both B and C 
A) the correlation coefficient 
B) omega-squared 
C) eta-squared 
D) both B and C

Question 19

The coefficient of determination is the square root of the correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 20

The most common measure of effect size for the correlation coefficient is called

Accepted Answer

A) the correlation coefficient 
B) the coefficient of determination 
C) estimated Cohen's d 
D) the test statistic 
A) the correlation coefficient 
B) the coefficient of determination 
C) estimated Cohen's d 
D) the test statistic

What is the problem with the following data for computing a correlation?

The point-biserial correlation coefficient is used to measure the correlation between two dichotomous variables.

If = 3.84 and n = 36,then what is the value of r?

If = 5.32 and n = 40,then what is the value of the coefficient of determination?

A correlation of r = .38 in a sample of 30 participants is statistically significant for a two-tailed test at a .05 level of significance.

The Spearman correlation coefficient is used to measure the correlation between two nominal variables.

The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between one continuous and one dichotomous variable is

Restriction of range occurs when an unanticipated variable not accounted for in a research study that could be causing or associated with observed changes in one or more measured variables.

The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between two ranked or ordinal variables is

The Spearman rank-order correlation coefficient is a measure of the direction and strength of the linear relationship between two ________ variables.

The correlation coefficient varies between 0 and 1 and can never be negative.

A researcher measures the correlation between the frequency of self-esteem (high,low)and health status (lean/healthy,overweight/obese).Based on the frequencies for each nominal category given below,what is the value of the phi correlation coefficient?

Linearity is the assumption that the best way to describe a pattern of data is using a straight line.

The formula for the phi correlation coefficient was derived from the formula for the Pearson correlation coefficient.

A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule.Which description best explains the relationship between these two factors?

The correlation coefficient is used to measure the and of the linear relationship between two factors.

A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called

The coefficient of determination is mathematically equivalent to

The coefficient of determination is the square root of the correlation coefficient.

The most common measure of effect size for the correlation coefficient is called

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Filters

Exam 18: Understanding Correlation Coefficients in Statistical Analysis

What is the problem with the following data for computing a correlation?

The point-biserial correlation coefficient is used to measure the correlation between two dichotomous variables.

If = 3.84 and n = 36,then what is the value of r?

If = 5.32 and n = 40,then what is the value of the coefficient of determination?

A correlation of r = .38 in a sample of 30 participants is statistically significant for a two-tailed test at a .05 level of significance.

The Spearman correlation coefficient is used to measure the correlation between two nominal variables.

The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between one continuous and one dichotomous variable is

Restriction of range occurs when an unanticipated variable not accounted for in a research study that could be causing or associated with observed changes in one or more measured variables.

The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between two ranked or ordinal variables is

The Spearman rank-order correlation coefficient is a measure of the direction and strength of the linear relationship between two ________ variables.

The correlation coefficient varies between 0 and 1 and can never be negative.

A researcher measures the correlation between the frequency of self-esteem (high,low)and health status (lean/healthy,overweight/obese).Based on the frequencies for each nominal category given below,what is the value of the phi correlation coefficient?

Linearity is the assumption that the best way to describe a pattern of data is using a straight line.

The formula for the phi correlation coefficient was derived from the formula for the Pearson correlation coefficient.

A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule.Which description best explains the relationship between these two factors?

The correlation coefficient is used to measure the ________ and ________ of the linear relationship between two factors.

A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called

The coefficient of determination is mathematically equivalent to

The coefficient of determination is the square root of the correlation coefficient.

The most common measure of effect size for the correlation coefficient is called

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Filters

The correlation coefficient is used to measure the and of the linear relationship between two factors.