Deck 7: Analyzing Data: Bivariate Relationships

Question 1

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between race and the type of car owned _______

Answer 1

lambda

Question 2

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between height and GPA _______

Answer 2

Pearson r

Question 3

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between numerical scores on an exam and number of hours studied _________

Answer 3

Pearson r

Question 4

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between schooling completed (measured as high school, some college, college, graduate school) and frequency of reading literary magazines (measured as daily, a few times a week, monthly, yearly) __________

Question 5

For the following crosstable, answer these questions:

-what is the null hypothesis being tested here?

Question 6

For the following crosstable, answer these questions:

-Which is the independent variable and which is the dependent variable?

Question 7

For the following crosstable, answer these questions:

-put into words what the 56.3 says:

Question 8

For the following crosstable, answer these questions:

-what would you conclude about the hypothesis based on these data? Put into words what this data analysis is telling us.

Question 9

For the following crosstable, answer these questions:

-Which statistics would you use to test the relationship?

Question 10

A correlation of .05 is a strong significant relationship.

Question 11

Which one of the following is the strongest correlation coefficient?

A) -.45
B) .56
C) -.78
D) .02

Question 12

The percentages for each value or category of the ___________ variable should add up to 100 percent.

Question 13

Put into words using the concept of PRE what each of the following correlations mean:
-Gamma = .65 for a relationship between categories of income and gender.

Question 14

Put into words using the concept of PRE what each of the following correlations mean:
-Lambda = .30 for a relationship between type of car owned and religious preference

Question 15

Put into words using the concept of PRE what each of the following correlations mean:
-Pearson r = -.40 for a relationship between GPA and number of hours partying in a typical week