Hypothesis TestingView more

Expand your statistics toolkit, learning how to make good decisions with limited data.

Book 26 Lessons

Course description

Have you ever wanted to use data to test a hypothesis, prove a point, or even just make meaning of the world? Statistics is essential for achieving all of those goals, and this course will teach you the methods you need to make the most of your data.

You'll gain hands-on experience designing experiments and framing questions for statistical analysis. You'll also expand your statistics toolkit to include a suite of powerful hypothesis tests.

Topics covered

  • ANOVA
  • Chi-square test
  • Contingency tables
  • F-test
  • Goodness of fit
  • Power
  • p-value
  • t-test

Prerequisites and next steps

The basics of statistics covered in a first semester stats course is crucial. Familiarity with some basic concepts from probability, such as distribution functions, mean, variance, and the central limit theorem, is necessary. Some calculus knowledge will be helpful, but not essential.