Parametric And Non Parametric Tests Pdf

parametric and non parametric tests pdf

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In terms of selecting a statistical test, the most important question is "what is the main study hypothesis? For example, in a prevalence study there is no hypothesis to test, and the size of the study is determined by how accurately the investigator wants to determine the prevalence. If there is no hypothesis, then there is no statistical test. It is important to decide a priori which hypotheses are confirmatory that is, are testing some presupposed relationship , and which are exploratory are suggested by the data. No single study can support a whole series of hypotheses.

What is the difference between a parametric and a nonparametric test?

Non-parametric methods are used to analyze data when the distributional assumptions of more common procedures are not satisfied. For example, many statistical procedures assume that the underlying error distribution is Gaussian, hence the widespread use of means and standard deviations. When the error distribution is not known, non-parametric statistical tests may be safer to apply. The non-parametric methods in Statgraphics are options within the same procedures that apply the classical tests. These non-parametric statistical methods are classified below according to their application. Goodness-of-fit tests are used to compare the frequency of occurrence of observations either quantitative or categorical to a probabilistic model.

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Writing about Non-parametric Tests

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Parametric Hypothesis: A statistical hypothesis which refers only to values of unknown parameters of population is usually called a parametric.


Writing about Non-parametric Tests

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Topics: Hypothesis Testing , Statistics. That sounds like a nice and straightforward way to choose, but there are additional considerations. Nonparametric tests are like a parallel universe to parametric tests. The table shows related pairs of hypothesis tests that Minitab Statistical Software offers.

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Parametric and Non-parametric tests for comparing two or more groups

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