EBK ESSENTIAL STATISTICS FOR THE BEHAVI
2nd Edition
ISBN: 9781506386287
Author: PRIVITERA
Publisher: VST
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Chapter 14, Problem 1FP
To determine
To explain: The three differences between nonparametric tests and parametric tests.
Expert Solution & Answer
Explanation of Solution
The three ways that nonparametric tests differ from parametric tests are shown below
- Nonparametric tests are used when the test of hypothesis does not make inferences about the population parameter, although they can be used to test hypothesized relationships in a population whereas parametric tests hypothesis make inferences about the population parameters.
- In Nonparametric test, it does not require the population to be
normally distributed and does not make any assumptions. These tests are considered to be distribution free tests as the data can have of any type of distribution, whereas parametric tests make assumptions and assume that population distribution is approximately normal. Parametric tests depend on the distribution of Population. - Nonparametric tests can be used to analyze the data on a nominal or ordinal scale of measurement without any assumptions. Though parametric tests can be used for nominal or ordinal data, it requires many assumptions to be made and many conditions to be met.
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Chapter 14 Solutions
EBK ESSENTIAL STATISTICS FOR THE BEHAVI
Ch. 14 - Prob. 1FPCh. 14 - Prob. 2FPCh. 14 - Prob. 3FPCh. 14 - Prob. 4FPCh. 14 - Prob. 5FPCh. 14 - Prob. 6FPCh. 14 - Prob. 7FPCh. 14 - Prob. 8FPCh. 14 - Prob. 9FPCh. 14 - Prob. 11FP
Ch. 14 - Prob. 12FPCh. 14 - Prob. 13CAPCh. 14 - Prob. 14CAPCh. 14 - Prob. 15CAPCh. 14 - Prob. 16CAPCh. 14 - Prob. 17CAPCh. 14 - Prob. 18CAPCh. 14 - Prob. 19CAPCh. 14 - Prob. 20CAPCh. 14 - Prob. 21CAPCh. 14 - Prob. 22CAPCh. 14 - Prob. 23CAPCh. 14 - Prob. 24CAPCh. 14 - Prob. 25CAPCh. 14 - Prob. 26CAPCh. 14 - Prob. 27PRCh. 14 - Prob. 28PRCh. 14 - Prob. 29PRCh. 14 - Prob. 30PRCh. 14 - Prob. 31PRCh. 14 - Prob. 32PR
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