Capella PSYC4700 Week 8 Quiz Latest 2023

PSYC4700 - Stat for Behavioral Sciences

Week 8 Quiz 1

Question 1

What is a key distinction between parametric tests and nonparametric tests in terms of scales of measurement?                                            

a. Parametric tests are used for interval and ratio data, whereas nonparametric tests are used for nominal and ordinal data.

b. Parametric tests are used for ordinal and nominal data, whereas nonparametric tests are used for interval and ratio data.

c. Parametric tests are used for ordinal or interval data, whereas nonparametric tests are used for nominal data only.

d. There is no distinction; both types of tests are used to analyze data on any scale of measurement.

Question 2

Which of the following is recorded using a chi-square goodness-of-fit test and a chi-square test for independence?                                       

a. variance

b. frequency observed

c. frequency expected

 d. frequency observed and frequency expected

Question 3

A researcher selects a sample of 80 people and records the frequency of participants choosing a low, moderate, or high calorie dessert in a buffet. What are the degrees of freedom for this chi-square goodness-of-fit test?                                   

a. 2

b. 3

c. 79

d. 80

Question 4

True or False: Parametric tests are often called distribution-free tests.                                  

True

False

Question 5

A researcher conducts a chi-square goodness-of-fit test in which k = 2 and χ 2 = 3.98. What is the decision for this test at a .05 level of significance?                                              

a. retain the null hypothesis

 b. reject the null hypothesis

c. there is not enough information to answer this question

d. none of the above

Question 6

True or False: The value of the test statistic for a chi-square test is equal to 0 when there is no difference between observed and expected frequencies, and it gets larger, or more positive, as the differences get larger.                                                 

True

False

Question 7

True or False: The test statistic is the same for a chi-square goodness-of-fit test and a chi-square test for independence.                                               

True

False

Question 8

The degrees of freedom for a chi-square goodness-of-fit test are ______.                                         

a. k - 1

b. n - 1

c. (k1 – 1)(k2 – 1)

d. (k - 1)(n - 1)

Question 9

When computing a chi-square goodness-of-fit test, the frequency expected in a given cell should never be less than ______.                                              

a. the sample size

 b. five

c. the frequency observed

d. the number of cells

Question 10

a. it is equal to the number of cells

b. it is three times larger than the number of cells

 c. it is five times larger than the number of cells

d. it is seven times smaller than the number of cells

Question 11

We compute the frequency expected in each category using known ______ stated in the null hypothesis.         

a. hypothesis tests

b. proportions

c. variances

d. effect sizes

Question 12

True or False: A researcher computes a 2 X 3 chi-square test for independence. In this example, the degrees of freedom are 2.                                    

Answers:            

True

False

Question 13

A chi-square goodness-of-fit test shows that the frequencies observed equal those that were expected. Hence, the value of the test statistic is ______.                                   

a. equal to 0

b. less than 0

c. small; less than the critical value but not necessarily equal to 0

d. large; greater than the critical value

Question 14

Which of the following measures of effect size can be reported with a 3 x 4 chi-square test for independence?                                 

a. proportion of variance

b. the phi coefficient

 c. Cramer's V

d. all of these

Question 15

A researcher reports the following results for a chi-square test: χ 2 () = 5.39, p < .05 ( V = 0.22). What is the maximum number of levels that an independent variable could have had?                                               

a. 1

b. 2

c. 3

d. 4