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Hundreds, if not more.
For a given set of data, you calculate a statistic.
Select a null and alternative hypotheses. These may include the kind of distribution as well as parameters about its location and spread (mean and variance).
Determine the probability distribution function (pdf) of that statistic when the null hypothesis is true.
Decide on the significance level that you wish to use.
Determine values of the statistic such that the probability of observing a value at least as extreme is less than the significance level.
You have a test.
There are almost no constraints on the distribution that you select at the second stage and so, provided you can determine the pdf of the test statistic under your assumptions, there are no limits to the number of tests you can devise.
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What are the uses of parametric statistical tests?
Answer this question...how many paramatic trdy
What are examples of parametric and nonparametric statistical tests?
Parametric statistical tests assume that your data are normally distributed (follow a classic bell-shaped curve). An example of a parametric statistical test is the Student's t-test.Non-parametric tests make no such assumption. An example of a non-parametric statistical test is the Sign Test.
When is a pie chart would be most appropriate with statistical tests?
A pie chart is never, ever, appropriate for statistical tests. It can be a useful way of illustrating results but it has no usefulness in testing.
What kind of tests are used to analyze data for experimental treatments in biology?
Dose response tests are used, which are a kind of statistical tests.
What would you use a parametric test for?
* Always when the assumptions for the specific test (as there are many parametric tests) are fulfilled. * When you want to say something about a statistical parameter.
