At times we wish to examine statistical evidence, and determine whether it supports or contradicts a claim that has been made (or that we might wish to make) concerning the entire population. This is ...

Current scientific techniques in genomics and image processing routinely produce hypothesis testing problems with hundreds or thousands of cases to consider simultaneously. This poses new difficulties ...

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

In applied research, an effect size is specified in advance and defines a threshold for decision-making. Power analyses of a specific desired effect size may then be carried out before an experiment ...

Hypothesis testing problems in which the null hypothesis is simple, the parameter space is finite dimensional and the supports of the probability measures are independent of the parameter are ...