quiz chapter fifteen psy302 quantitative methods

QUIZ CHAPTER FIFTEEN

Psy302 Quantitative Methods

Opening Day, Today: 3:00 p.m.

1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is calledA. effect sizeB. powerC. hypothesis testingD. coincidenceE. a correlation

1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is calledA. effect sizeB. powerC. hypothesis testingD. coincidenceE. a correlation

2. The strength and direction of a correlation are measured by the correlation coefficient which is represented as:

A. μB. C. σD. rE. cc

2. The strength and direction of a correlation are measured by the correlation coefficient which is represented as:

A. μB. C. σD. rE. cc

3. 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?

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.

3. 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?

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.

4. With correlation data we cannot talk about:

A. a relationship between variables

B. predictionC. one moving with

anotherD. one variable

causing anotherE. all of the above

4. With correlation data we cannot talk about:

A. a relationship between variables

B. predictionC. one moving with

anotherD. one variable

causing anotherE. all of the above

5. R2 or ________ is the proportion of variance in one variable that can be explained by the second.A. Times squareB. the coefficient of

determinationC. the sum of

squaresD. The Chi Square

testE. analysis of

variance

5. R2 or ________ is the proportion of variance in one variable that can be explained by the second.A. Times squareB. the coefficient

of determination

C. the sum of squares

D. The Chi Square test

E. analysis of variance

6. Which of the following indicates the strongest correlation?

A. r = –0.57B. r = +0.78C. r = –0.90D. r = +0.88E. r= .o99

6. Which of the following indicates the strongest correlation?

A. r = –0.57B. r = +0.78C. r = –0.90D. r = +0.88E. r= .o99

7. The correlation coefficient ranges from –1.0 to +1.0, with values closer to ±1.0 indicatingA. a more positive

relationship between two factors

B. a stronger relationship between two factors

C. that two factors are less likely to be related

D. that the correlation is due to outliers

E. all of the above

7. The correlation coefficient ranges from –1.0 to +1.0, with values closer to ±1.0 indicatingA. a more positive

relationship between two factors

B. a stronger relationship between two factors

C. that two factors are less likely to be related

D. that the correlation is due to outliers

E. all of the above

8. The correlation coefficient measures the extent to which changes in one factor are _______ in a second factor.A. related to

changesB. causing changesC. causing variabilityD. exactly mirroredE. all of the above

8. The correlation coefficient measures the extent to which changes in one factor are _______ in a second factor.A. related to

changesB. causing changesC. causing variabilityD. exactly mirroredE. all of the above

9. The most common measure of effect size for the correlation coefficient is calledA. the correlation

coefficientB. the coefficient of

determinationC. estimated Cohen's dD. the test statistic

9. The most common measure of effect size for the correlation coefficient is calledA. the correlation

coefficientB. the coefficient of

determinationC. estimated Cohen's dD. the test statistic

10. The coefficient of determination is

A. a measure of effect size

B. mathematically equivalent to eta-squared

C. equal to the correlation coefficient squared

D. all of the above

10. The coefficient of determination is

A. a measure of effect size

B. mathematically equivalent to eta-squared

C. equal to the correlation coefficient squared

D. all of the above

The End