1. Many nonparametric tests are called ______ because they make no assumptions regarding the shape of the distribution in the population.

6 points

QUESTION 2

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

7 points

QUESTION 3

1. A researcher conducts a chi-square goodness-of-fit test in which k = 5. What is the critical value for this test at a .05 level of significance?

7 points

QUESTION 4

1. True or False: Nonparametric tests do not make inferences about population parameters, although these tests can be used to test hypothesized relationships in the population.

7 points

QUESTION 5

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

7 points

QUESTION 6

1. True or False: A chi-square goodness-of-fit test with five levels of a categorical variable will have four degrees of freedom.

7 points

QUESTION 7

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

7 points

QUESTION 8

1. To appropriately interpret the chi-square goodness-of-fit test, it is necessary to compare differences ______.

7 points

QUESTION 9

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

7 points

QUESTION 10

1. One way a researcher can correct for having expected frequencies smaller than five is to increase the sample size such that ______.

7 points

QUESTION 11

1. Which of the following is a statistical procedure used to test hypotheses about the discrepancy between the observed and expected frequencies in two or more nominal categories?

7 points

QUESTION 12

1. True or False: If a researcher computes a chi-square goodness-of-fit test in which k = 4 and n = 40, then the degrees of freedom for this test is 3.

6 points

QUESTION 13

1. If the expected frequencies are equal to observed frequencies for a chi-square test for independence, what do we conclude?

6 points

QUESTION 14

1. Which of the following is an appropriate measure of effect size for a 2 x 2 chi-square test for independence?

6 points

QUESTION 15

1. A researcher reports the following results for a chi-square test for independence: ² (1) = 5.39, p < .05 ( V = .22). How many groups were observed?

6 points

	a.	1
	b.	2
	c.	3
	d.	4

	a.	proportion of variance
	b.	the phi coefficient
	c.	Cramer's V
	d.	all of these

	a.	the degrees of freedom for the test are equal to 0
	b.	the test statistic value is equal to 0
	c.	the frequencies observed fit well with the frequencies expected
	d.	the test statistic value is equal to 0 and the frequencies observed fit well with the frequencies expected

True

False

	a.	one-way ANOVA
	b.	analysis of regression
	c.	chi-square test
	d.	all of the above

	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

	a.	the sample size
	b.	five
	c.	the frequency observed
	d.	the number of cells

	a.	within and between expected frequencies
	b.	across the levels of the categorical variable
	c.	at each level of the categorical variable
	d.	none of the above

True

False

True

False

	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

True

False

	a.	4
	b.	5
	c.	9.49
	d.	11.07

	a.	hypothesis tests
	b.	proportions
	c.	variances
	d.	effect sizes

	a.	parametric tests
	b.	skewed-distribution tests
	c.	significance-free tests
	d.	distribution-free tests