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Pages:
1 page/≈275 words
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Level:
MLA
Subject:
Mathematics & Economics
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Essay
Language:
English (U.S.)
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Topic:

Estimation (Essay Sample)

Instructions:

Statistical tests are typically classified into two major categories: parametric or nonparametric (although there are a few exceptions that do not fit entirely into either category). What are the major differences between parametric and nonparametric test

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Estimation
There are various differences between the parametric and non-parametric tests. Parametric tests are used in the estimation of population parameters such as mean. Non-parametric tests on the other hand are methods that are free of distribution. The non parametric methods are based on ranking or ordering of the noted observations. We shall focus on the main differences between parametric and non-parametric tests.
More precisely, distribution of data is important in choosing on either the parametric or non-parametric tests. The parametric tests are mostly applied when the populations are believed to be distributed normally. The non-parametric methods on the other hand are applied when it is uncertain whether the population will be distributed normally. It is also essential to consider the scale of data. We use non-parametric tests when using nominal...
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