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This edition: Nonparametric Tests

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Episode Details

The video program for this lesson shows how statisticians analyze data that does not take a Normal distribution, and which, therefore, cannot be tested using the methods covered so far in this course. The program revisits several segments where the analysis of the data just did not work for a specific test, or where the results left too many questions about accuracy. These three real life examples show how numerical data can be converted into values that can be tested when the data do not meet the conditions of Normality, variance, and large sample size. These tests are called nonparametric tests. The examples also illustrate how these new tests, called nonparametric tests, compare to the statistical tests you have already learned about.

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