P-values: What they are and what they are not, will look in detail at good examples of using p-values and how to interpret them. After reviewing widely understood problems with p-values, attention is drawn to regularly encountered use of p-values where it is less clear what their correct interpretation actually is. Furthermore, we demonstrate why… Read More
The positive and negative predictive values of a dignostic test depend not only on its sensitivity and specificity, but also the prevalence of the disease (or the pre-test probability of disease). This interactive display illustrates that inter-dependence. Move the sensitivity, specificity, and disease prevalence sliders, and watch the positive and negative predictive value sliders change… Read More
Having trouble deciding what statistical test to use for your data? Use this handy flowchart from Penn State to decide. It includes a review of all the statistical techniques provided, as well as a table consisting of inferences, parameters, statistics, types of data, examples, analysis, Minitab commands, and conditions. https://newonlinecourses.science.psu.edu/stat500/node/67/
