Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

Although efficiency robust tests are preferred for genetic association studies when the genetic model is unknown, their statistical properties have been studied for different study designs separately ...

The transmission/disequilibrium test (TDT) was introduced as a direct test of linkage which is not affected by the problem of population stratification. Such a test ...