Dynamic P-value Calculation for Proportion Test

This GeoGebra example provides an interactive demonstration of how to compute the P-value in a hypothesis test for a population proportion. It visually shows how the test statistic (z-score) and the corresponding P-value change as the sample size, sample proportion, and hypothesized proportion are varied. The core mathematical concepts include the normal distribution, standard normal distribution, hypothesis testing, P-value, significance level, and one-tailed/two-tailed tests. Construction highlights: Textfield inputs capture the sample size n, sample proportion phat, and hypothesized proportion p; the Normal command builds the normal distribution; the standard error sd is computed; Min and If commands handle the P-value calculation for two-sided tests; a reset button restores default values; dynamic text displays the z-score and P-value. This resource is suitable for high school or college statistics courses, helping students grasp the meaning and computation of P-values in hypothesis testing, and can also serve as a classroom demonstration tool for instructors.