Statistics I View more

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

Book 35 Lessons

Course description

We make many day-to-day decisions without seeing the big picture. Sometimes things turn out in our favor, sometimes not. Scientists, engineers, and other technically-minded people also make judgments using limited information. However, their fields have exacting standards, so a toolkit for making good conclusions from small data samples is invaluable to them.

This course covers the essential statistical methods that provide a mathematically sound basis for inferring general statements from limited data.

Topics covered

  • ANOVA
  • Bias
  • Chi-square test
  • Contingency tables
  • F-test
  • Goodness of fit
  • Mean comparison
  • Power
  • Proportion comparison
  • p-value
  • Sampling
  • 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.