Math Camp: Hypothesis Testing in Mathematica

Presented by Taner Pirim
February 7, 2007 at 4PM
107 Weir Hall, UM Oxford Campus

Abstract:

A test of a statistical hypothesis is a test of assumptions about the distribution of a variable. Given sample data, we test whether the population from which the sample came has a certain characteristic. We will examine three Mathematica functions for testing distribution hypotheses: the mean, the variance, and the difference in two sample means (or the ratio of their variances.) In this seminar, we will analyze the output of a hypothesis test, p-value. We also will cover two-sided test functions, as well as the commands for full report and significance level, which yield a conclusion of the test--either acceptance or rejection of the hypothesis.