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STATS Exam Final, Dr. Smith, Cedarville University Questions with Correct Answers| New Version with complete solutions

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How are ranks determined? - ANSWER-Start with lowest number, make a list of each value from least to greatest, determine how many of each number there are in list. (see Ch.13 Day 1 worksheet) Sign Test - ANSWER-Ch. 13 Worksheet Day 1 Wilcoxon Rank Sum Test is also known as? - ANSWER-Mann-Whitney U Test What are Wilcoxon Rank Sum Tests for? - ANSWER-To test two independent samples to see if they have different medians Ho: Wilcoxon Rank Sum Test - ANSWER-The two samples come from populations with equal medians H1: Wilcoxon Rank Sum Test - ANSWER-The median of the first population is different from the median from the second population What tailed test is Wilcoxon Rank Sum test? - ANSWER-2-tailed

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STATS Dr. Smith, Cedarville University
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STATS Dr. Smith, Cedarville University
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STATS Dr. Smith, Cedarville University

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STATS Exam Final, Dr. Smith, Cedarville
University
How are ranks determined? - ANSWER-Start with lowest number, make a list of each
value from least to greatest, determine how many of each number there are in list. (see
Ch.13 Day 1 worksheet)

Sign Test - ANSWER-Ch. 13 Worksheet Day 1

Wilcoxon Rank Sum Test is also known as? - ANSWER-Mann-Whitney U Test

What are Wilcoxon Rank Sum Tests for? - ANSWER-To test two independent samples
to see if they have different medians

Ho: Wilcoxon Rank Sum Test - ANSWER-The two samples come from populations with
equal medians

H1: Wilcoxon Rank Sum Test - ANSWER-The median of the first population is different
from the median from the second population

What tailed test is Wilcoxon Rank Sum test? - ANSWER-2-tailed

What are the requirements of Wilcoxon Rank Sum test? - ANSWER-Two Independent
Random Samples
Each sample has more than 10 values
Tests must be done in SPSS


What do we use for One-way ANOVA tests? - ANSWER-ANOVA: Single Factor

What tests do not require that samples come from populations with normal distributions
or any other particular distributions? - ANSWER-Nonparametric tests (Distribution-Free
tests)

Advantages of nonparametric tests - ANSWER-- Less rigid requirements = wider variety
of situations
- Can be applied to more data types such as ranks and categorical data

Disadvantages of nonparametric tests - ANSWER-- Tend to waste information as exact
numerical data are often reduced to a qualitative form
- Not as efficient, needs stronger evidence to reject null hypothesis

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