Question 1

According to the text, what are the consequences of the Type I error in the Mozart effect?

Accepted Answer

A) benign 
B) horrible 
C) could lead to mental disturbances 
D) more classical musicians 
A) benign 
B) horrible 
C) could lead to mental disturbances 
D) more classical musicians

Question 2

In multiple regression, the adjusted R-square can be interpreted as

Accepted Answer

A) the percentage of variance accounted for in the dependent variable by the set of independent variables 
B) the percentage of variance accounted for in the dependent variable by a single independent variable 
C) the strength of the relationship between the dependent variable and the set of independent variables 
D) the percentage of variance accounted for in the dependent variable by the set of independent variables minus an estimate penalty 
A) the percentage of variance accounted for in the dependent variable by the set of independent variables 
B) the percentage of variance accounted for in the dependent variable by a single independent variable 
C) the strength of the relationship between the dependent variable and the set of independent variables 
D) the percentage of variance accounted for in the dependent variable by the set of independent variables minus an estimate penalty

Question 3

To test for the significance of a Pearson correlation, one must use the _______________ distribution.

Accepted Answer

A) t 
B) F 
C) ?2 
D) z 
A) t 
B) F 
C) ?2 
D) z

Question 4

In the formula Y = ? + bX, the letter b defines

Accepted Answer

A) the intercept of the x-axis 
B) the intercept of the y-axis 
C) the slope or angle of the straight line 
D) all of the above 
A) the intercept of the x-axis 
B) the intercept of the y-axis 
C) the slope or angle of the straight line 
D) all of the above

Question 5

The _____________ hypothesis establishes whether a one-tailed or two-tailed significance test will be used.

Accepted Answer

A) null 
B) alternative 
C) general 
D) specific 
A) null 
B) alternative 
C) general 
D) specific

Question 6

A consumer psychologist wants to know if shoe size and weight are correlated in adult males. She measures the shoe size and asks the weight of 14 consecutive customers. They are as follows: size 9, 176 lbs.; size 7.5, 141 lbs.; size 10, 185 lbs.; size 12, 202 lbs.; size 9.5, 174 lbs.; size 10, 150 lbs.; size 10, 193 lbs.; size 10.5, 237 lbs.; size 13, 248 lbs.; size 8, 159 lbs.; size 8.5, 136 lbs.; size 9.5, 174 lbs.; size 9, 172 lbs.; and size 11, 183 lbs.
-The percentage of variance in shoe size that can be accounted by weight is

Accepted Answer

A) 65 
B) 81 
C) 90 
D) 99 
A) 65 
B) 81 
C) 90 
D) 99

Question 7

In multiple regression, the ANOVA table tells us whether the three main regression coefficients (R, R-square, adjusted R-square) are significantly different from

Accepted Answer

A) zero 
B) 1.00 
C) .50 
D) 1.50 
A) zero 
B) 1.00 
C) .50 
D) 1.50

Question 8

A consumer psychologist wants to know if shoe size and weight are correlated in adult males. She measures the shoe size and asks the weight of 14 consecutive customers. They are as follows: size 9, 176 lbs.; size 7.5, 141 lbs.; size 10, 185 lbs.; size 12, 202 lbs.; size 9.5, 174 lbs.; size 10, 150 lbs.; size 10, 193 lbs.; size 10.5, 237 lbs.; size 13, 248 lbs.; size 8, 159 lbs.; size 8.5, 136 lbs.; size 9.5, 174 lbs.; size 9, 172 lbs.; and size 11, 183 lbs.
-The Pearson correlation on these data is r =

Accepted Answer

A) .61 
B) .71 
C) .81 
D) .91 
A) .61 
B) .71 
C) .81 
D) .91

Question 9

According to the text, a correlational analysis _________

Accepted Answer

A) sometimes provides clues about cause-effect relationships 
B) often provides clues about cause-effect relationships 
C) never provides clues about cause-effect relationships 
D) is relatively useless compared to controlled experiments 
A) sometimes provides clues about cause-effect relationships 
B) often provides clues about cause-effect relationships 
C) never provides clues about cause-effect relationships 
D) is relatively useless compared to controlled experiments

Question 10

In a multiple regression analysis, the final section of the output contains the coefficients.Which of these coefficients is of primary concern?

Accepted Answer

A) unstandardized B 
B) standard error of B 
C) standardized coefficient beta 
D) standard error of beta 
A) unstandardized B 
B) standard error of B 
C) standardized coefficient beta 
D) standard error of beta

According to the text, what are the consequences of the Type I error in the Mozart effect?

In multiple regression, the adjusted R-square can be interpreted as

To test for the significance of a Pearson correlation, one must use the _______________ distribution.

In the formula Y = ? + bX, the letter b defines

The _____________ hypothesis establishes whether a one-tailed or two-tailed significance test will be used.

In multiple regression, the ANOVA table tells us whether the three main regression coefficients (R, R-square, adjusted R-square) are significantly different from

According to the text, a correlational analysis _________

In a multiple regression analysis, the final section of the output contains the coefficients.Which of these coefficients is of primary concern?

A Gentle Introduction

Descriptive Statistics: Understanding Distributions of Numbers

Statistical Parameters: Measures of Central Tendency and Variation

Standard Scores, the Z Distribution, and Hypothesis Testing

Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the Z Distribution

The T Test for Independent Groups

The T Test for Dependent Groups

Analysis of Variance Anova: One-Factor Completely Randomized Design

After a Significant Analysis of Variance: Multiple Comparison Tests

Analysis of Variance Anova: One-Factor Repeated-Measures Design

Analysis of Variance: Two-Factor Completely Randomized Design

Post Hoc Analysis of Factorial Anova

Factorial Anova: Additional Designs

Nonparametric Statistics: The Chi-Square Test

Other Statistical Parameters and Tests

Filters

Exam 6: An Introduction to Correlation and Regression

According to the text, what are the consequences of the Type I error in the Mozart effect?

In multiple regression, the adjusted R-square can be interpreted as

To test for the significance of a Pearson correlation, one must use the _______________ distribution.

In the formula Y = ? + bX, the letter b defines

The _____________ hypothesis establishes whether a one-tailed or two-tailed significance test will be used.

In multiple regression, the ANOVA table tells us whether the three main regression coefficients (R, R-square, adjusted R-square) are significantly different from

According to the text, a correlational analysis _________

In a multiple regression analysis, the final section of the output contains the coefficients.Which of these coefficients is of primary concern?

A Gentle Introduction

Descriptive Statistics: Understanding Distributions of Numbers

Statistical Parameters: Measures of Central Tendency and Variation

Standard Scores, the Z Distribution, and Hypothesis Testing

Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the Z Distribution

The T Test for Independent Groups

The T Test for Dependent Groups

Analysis of Variance Anova: One-Factor Completely Randomized Design

After a Significant Analysis of Variance: Multiple Comparison Tests

Analysis of Variance Anova: One-Factor Repeated-Measures Design

Analysis of Variance: Two-Factor Completely Randomized Design

Post Hoc Analysis of Factorial Anova

Factorial Anova: Additional Designs

Nonparametric Statistics: The Chi-Square Test

Other Statistical Parameters and Tests

Filters