When should you use non-parametric tests of statistical significance? When is it inappropriate to use non-parametric...

When should you use non-parametric tests of statistical significance? When is it inappropriate to use non-parametric statistical tests? Describe what is meant by the phrase: "Power of a a statistical test". Are non-parametric statistical procedures as powerful as parametric statistical procedures?

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orchestra answered 1 year ago

In general, when should you use non-parametric vs. parametric tests?

Answer Both questions 1. In general, when should you use non-parametric vs. parametric tests? 2. Specifically,...

Answer Both questions 1. In general, when should you use non-parametric vs. parametric tests? 2. Specifically, what are the parametric equivalents of the Mann-Whitney, Wilcoxon rank-sum & signed-rank, Kruskal-Wallis, and Friedman's tests? what type of variables or research design would call for each of these tests (i.e. how do know which test to use)?

6. Parametric tests usually have more statistical power than non-parametric tests. True or False 5. A...

6. Parametric tests usually have more statistical power than non-parametric tests. True or False 5. A post hoc test does not need to be performed when an ANOVA produces a statistically significant F value. True or False 4. In the case of a hypothesis t test, population mean is known. True or False

When should we use a non-parametric test (or a distribution-free test)?

How to understand and compute non parametric tests

Which statistical tests would be used to determine statistical significance, and which statistical tests would be...

Which statistical tests would be used to determine statistical significance, and which statistical tests would be used to determine the variance from a population mean? Give a brief description of their key differences.

What are the key differences between parametric and non-parametric tests? Provide one example of a parametric...

What are the key differences between parametric and non-parametric tests? Provide one example of a parametric test and one example of a non-parametric test.

An advantage of non-parametric tests includes: a. Good power compared to parametric tests b. Set up...

An advantage of non-parametric tests includes: a. Good power compared to parametric tests b. Set up to test hypotheses and estimate effect size c. Very few assumptions for the distribution of the data d. Allows for analysis of large continuous scale data sets

explain some distinguishing feature of non parametric tests?

What are parametric and non-parametric statistics and when are they used and why?

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