In Hypothesis Testing 1, you were introduced to the ideas of hypothesis testing in the context of deciding whether a coin was fair or biased in favor of heads. In this section hypothesis testing ...

P-values have taken quite a beating lately. These widely used and commonly misapplied statistics have been blamed for giving a veneer of legitimacy to dodgy study results, encouraging bad research ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data. Having data is only half the battle. How do you know your data actually ...

It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genomewide association studies, a joint null hypothesis of no genetic effect is tested for ...

Geoff Cumming has received funding from the Australian Research Council. For researchers there’s a lot that turns on the p value, the number used to determine whether a result is statistically ...

This is a preview. Log in through your library . Abstract Objective: The latent p value is a recently proposed empirical method for assessing evidence against a null hypothesis in a stochastic system ...