Statistics for Researchers

Understand the numbers in research: spread, samples, confidence intervals, p-values and effect sizes, the traps that fool even experts, and how to report results honestly.

18 video lessons · about 35 min · free to study

1. Watch · module 1Thinking with data3 lessons

   • Look before you test2 min
   • Mean, median and outliers2 min
   • Variation is the signal2 min
   • Practice quiz: Thinking with data · practice, optional4 min
2. Watch · module 2Samples and uncertainty3 lessons

   • A sample is not the world2 min
   • Standard error, simply2 min
   • Confidence intervals2 min
   • Practice quiz: Samples and uncertainty · practice, optional4 min
3. Watch · module 3p-values honestly3 lessons

   • What a p-value is2 min
   • What a p-value is not2 min
   • Effect size: does it matter?2 min
   • Practice quiz: p-values honestly · practice, optional4 min
4. Watch · module 4Common traps3 lessons

   • p-hacking and forking paths2 min
   • Multiple comparisons2 min
   • Simpson's paradox2 min
   • Practice quiz: Common traps · practice, optional4 min
5. Watch · module 5Power and sample size3 lessons

   • Why small studies mislead2 min
   • Planning sample size2 min
   • Regression to the mean2 min
   • Practice quiz: Power and sample size · practice, optional4 min
6. Watch · module 6Reporting and reasoning3 lessons

   • Reporting results right2 min
   • Correlation and regression2 min
   • Bayesian thinking in one lesson2 min
   • Practice quiz: Reporting and reasoning · practice, optional4 min
7. Graded · step 1Hands-on project

   Re-analyse a small open dataset. Checked by a reviewer.

8. Graded · step 2Graded test

   20 questions · 30 minutes · 70% to pass · sign in to take it

9. FinishYour certificate

   For members. Joining is free and takes about 3 minutes.