Exam 17: Chi-Square and Other Nonparametric Tests
Exam 1: Statistics and Scientific Method102 Questions
Exam 2: Basic Mathematical and Measurement Concepts110 Questions
Exam 3: Frequency Distributions116 Questions
Exam 4: Measures of Central Tendency and Variability125 Questions
Exam 5: The Normal Curve and Standard Scores105 Questions
Exam 6: Correlation139 Questions
Exam 7: Linear Regression101 Questions
Exam 8: Random Sampling and Probability123 Questions
Exam 9: Binomial Distribution121 Questions
Exam 10: Introduction to Hypothesis Testing: Using the Sign Test141 Questions
Exam 11: Power103 Questions
Exam 12: Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test135 Questions
Exam 13: Students T Test for Single Samples121 Questions
Exam 15: Introduction to the Analysis of Variance218 Questions
Exam 16: Introduction to the Two-Way Analysis of Variance115 Questions
Exam 17: Chi-Square and Other Nonparametric Tests170 Questions
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The Mann-Whitney U test tests the difference between sample means.
(True/False)
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To compute c 2 , the entries in the contingency table should be _________.
(Multiple Choice)
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A social scientist wants to know if education and socioeconomic status (SES) are independent. He collects the following data.
What do you conclude using a = 0.05?

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In Chapter 16, we presented the data from an independent groups design and asked if it was appropriate to use parametric ANOVA. The data are presented again below. The correct answer was that it was not appropriate to use parametric ANOVA because of unequal n s and homogeneity of variance assumption violation. Instead, analyze the data with the Kruskal-Wallis test.
What are the df?

(Multiple Choice)
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In Chapter 16, we presented the data from an independent groups design and asked if it was appropriate to use parametric ANOVA. The data are presented again here. The correct answer was that it was not appropriate to use parametric ANOVA because of unequal n s and homogeneity of variance assumption violation. Instead, analyze the data with the Kruskal-Wallis test.
H obt = _________ .

(Multiple Choice)
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In Chapter 16, we presented the data from an independent groups design and asked if it was appropriate to use parametric ANOVA. The data are presented again below. The correct answer was that it was not appropriate to use parametric ANOVA because of unequal n s and homogeneity of variance assumption violation. Instead, analyze the data with the Kruskal-Wallis test.
Using a = 0.05, H crit = _________.

(Multiple Choice)
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The Mann-Whitney U test is used with a repeated measures design.
(True/False)
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U obt and U' obt yield the same information with regard to the degree of separation.
(True/False)
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If there are 16 subjects in a repeated measures design then the sum of the unsigned ranks equals _________.
(Multiple Choice)
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A researcher conducts a one-way ANOVA involving three groups. When she analyzes the data she realizes the data seriously violate the assumptions underlying parametric ANOVA. Therefore, she decides to use the Kruskal-Wallis test to conclude with regard to H 0. The data are given below.
H obt = _________.

(Multiple Choice)
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The Wilcoxin signed ranks test is more powerful than the t test for correlated groups.
(True/False)
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A psychologist wants to investigate whether there might be a relationship between birth complications and the development of schizophrenia. In a longitudinal study she gathers the following data. 

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When using the Wilcoxin signed ranks test, if the raw scores are tied, the scores are disregarded and N is reduced by 1.
(True/False)
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For the following table there is(are) _________ degrees of freedom.
The value of c 2obt for the table is _________.

(Multiple Choice)
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If n 1 = 6, n 2 = 8 and a = 0.05 2 tail , U crit value is _________.
(Multiple Choice)
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