A Closer Look at the P-Value

Statistical Software Lab


Lab Links + Data Sets

Integrates the ideas of conditional probability and hypothesis testing to present a broader understanding of p-values, Type I error, and statistical power in a research context.

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See Also: 1 Lab Block Contains This Lab

Inference for Numerical Data: This set of labs discusses methods of inference for numerical data (two-sample tests and analysis of variance), in addition to related topics (statistical power and multiple testing). The last lab uses simulation and the principles of conditional probability to highlight some specific misconceptions about p-values; it can also be viewed as an informal introduction to the paradigm of Bayesian inference.