Hypothesis Testing

Overview

Master AI & Machine Learning for 50% Off

Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.

This course develops practical hypothesis-testing skills, including formulating null and alternative hypotheses, constructing confidence intervals, and interpreting significance levels and p-values to make informed decisions in context.

Syllabus

articulate null and alternative hypotheses and apply them to various types of hypothesis tests.
Construct confidence intervals for population parameters, indicating a strong grasp of statistical sampling theory.
provide informed decisions based on the results of hypothesis tests within the context of the problem being studied, by including the significance level, p-values, and confidence intervals.