Nonparametric tests generally have lower power than parametric tests. Would you interpret the results of a...

Nonparametric tests generally have lower power than parametric tests. Would you interpret the results of a nonparametric test any differently than the results of a parametric test?

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orchestra answered 2 years ago

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

Explain the difference between parametric and nonparametric tests.

agree or not? What is a nonparametric test? What is a parametric analysis? Parametric tests assume...

agree or not? What is a nonparametric test? What is a parametric analysis? Parametric tests assume underlying statistical distributions in the data. Therefore, several conditions of validity must be met so that the result of a parametric analysis is reliable. The student’s t-test for two independent samples is safe only if each sample follows a normal distribution and if sample variances are homogeneous. Nonparametric tests do not rely on any delivery. They can thus be applied even if parametric conditions...

Describe the conditions in which a nonparametric test would be a better selection than a parametric...

Describe the conditions in which a nonparametric test would be a better selection than a parametric test. Illustrate your ideas with a specific example of when you would use each type of test using similar variables for each example.

Analyze the similarities and differences between parametric and nonparametric tests, and justify when is it appropriate...

Analyze the similarities and differences between parametric and nonparametric tests, and justify when is it appropriate to run a nonparametric test and when it is not, while identifying three parametric tests and nonparametric equivalents in your analysis.

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

In your own words, explain why you would use a nonparametric test instead of a parametric...

In your own words, explain why you would use a nonparametric test instead of a parametric test. How are they different? How are they the same? Come up with a research study example for each of the different kinds of Chi square tests: no difference, goodness of fit, and test of independence.

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

Will the results in (a) be higher or lower than the results under FIFO and LIFO?...

Will the results in (a) be higher or lower than the results under FIFO and LIFO? Whispering Winds Corp. uses the periodic inventory system and reports the following for the month of June. Units Unit Cost Total Cost June 1 Inventory 300 $4 $ 1,200 12 Purchase 600 9 5,400 23 Purchase 450 10 4,500 30 Inventory 150 Part 1 Calculate Weighted Average Unit Cost. (Round answer to 2 decimal places, e.g. 15.25.) Weighted Average Unit Cost $enter Weighted Average...

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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