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

Having data is only half the battle. How do you know your data actually means something? With some simple Python code, you can quickly check if differences in data are actually significant. In ...

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 ...

This is a preview. Log in through your library . Abstract Testing homogeneity of species assemblages has important applications in ecology. Due to the unique structure of abundance data often ...

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 ...