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How to understand and compute non parametric tests

How to understand and compute non parametric tests

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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
In general, when should you use non-parametric vs. parametric tests?
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explain some distinguishing feature of non parametric tests?
explain some distinguishing feature of non parametric tests?
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?
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
How many types of tests are considered non-parametric data and briefly explain each
How many types of tests are considered non-parametric data and briefly explain each
Are one way ANOVA, Bartletts test and Levene test parametric or non parametric hipothesis tests and...
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Write a report about Non-parametric Tests and refere to your references
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1) An assumption of non parametric tests is that the distribution must be normal: (a) True...
1) An assumption of non parametric tests is that the distribution must be normal: (a) True (b) False 2) ​One characteristic of the chi-square tests is that they can be used when the data are measured on a nominal scale: (a) True (b) False 3) Which of the following accurately describes the observed frequencies for a chi-square test?​: (a) They are always whole numbers. (b) ​They can contain fractions or decimal values. (c) They can contain both positive and negative...
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