Deck 17: Chi-Square Tests

Question 1

Parametric is to nonparametric as _____ is to _____.

A) ?² test for independence; independent-groups t test
B) correlated-groups t test; independent-groups t test
C) independent-groups t test; ?² test for independence
D) none of these are correct

Answer 1

independent-groups t test; ?² test for independence

Question 2

For the ?² test of independence, which of the following formulas is used to calculate the expected frequencies?

A) (RT)N/CT
B) (CT)N/RT
C) N/(RT)(CT)
D) (RT)(CT)/N

Answer 2

(RT)(CT)/N

Question 3

If RT = 75, CT = 50, and N = 100, what is the expected frequency?

A) 150
B) 67
C) 37.5
D) 25

Answer 3

37.5

Question 4

If RT = 25, CT = 40, and N = 75, what is the expected frequency?

A) 13
B) 84
C) 120
D) 70

Question 5

What is the $\chi$ ²_cv if $\chi$ ²_obt = 3.99, with df = 1

A) 2.706
B) 5.024
C) 5.992
D) 3.841

Question 6

The measure of effect size used with the $\chi$ ² test of independence is:

A) Cohen's d.
B) r².
C) the phi coefficient.
D) the point-biserial coefficient.

Question 7

The formula for calculating the phi coefficient is _____.

A) $\phi=\sqrt{\frac{?^{2}}{N}}$
B) $\phi=\sqrt{\frac{N}{?^{2}}}$
C) $\phi=\frac{?^{2}}{N}$
D) $\phi=\sqrt{\frac{N^{2}}{?}}$

Question 8

Assuming $\sigma$ ²= 3.49 and N= 75, what is the phi coefficient?

A) .15
B) .22
C) .35
D).55

Question 9

Assuming $\sigma$ ² = 4.56 and N = 80, what is the phi coefficient?

A) .15
B) .20
C) .24
D) .55

Question 10

If I calculated the phi coefficient to be .35, what would this mean?

A) That there is a small effect size
B) That there is a medium effect size
C) That there is a large effect size
D) That there is no effect size at all

Question 11

If I calculated the phi coefficient to be .65, what would this mean?

A) That there is a small effect size
B) That there is a medium effect size
C) That there is a large effect size
D) That there is no effect size at all

Question 12

If I calculated the phi coefficient to be .15, what would this mean?

A) That there is a small effect size
B) That there is a medium effect size
C) That there is a large effect size
D) That there is no effect size at all

Question 13

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking.

-What is $\chi$ ²_obt?

Question 14

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking.
-What is (are) the df for this test?

Question 15

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking.

-What is $\chi$ ²_cv?

Question 16

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking.

-What conclusion should be drawn from these results?

Question 17

What are the assumptions of the $\chi$ ² test of independence?

Question 18

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below.
Males Females

-What statistical test should be used to analyze these data?

Question 19

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below.
Males Females

-Identify H0 and Ha for this study.

Question 20

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below.
Males Females


-Conduct the appropriate analysis.

Question 21

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below.
Males Females

-Should H0 be rejected? What should the researcher conclude?