Statistical Testing

Goodness-of-Fit Test
A statistical procedure used to test the hypothesis that a particular probability distribution adequately fits an observed set of data.
Type 2 Error
In statistical testing, a Type 2 Error occurs when the null hypothesis is not rejected even though it is false. This error, also known as a false negative, has significant implications in hypothesis testing as it can lead to incorrect conclusions.
Type I Error
In statistical hypothesis testing, a Type I Error occurs when the null hypothesis is rejected when it is actually true. This incorrect rejection leads to a false positive result.

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