Intro to Statistics for Experiments

Three MIT lectures condensed into the statistics you need to read an A/B test honestly: variance, confidence, power and peeking.

7 public courses · 5.8k learners · source: MIT OpenCourseWare

Outline · 9 modules · quiz after each

01Why most dashboards lie12:40

02Leading vs lagging indicators18:25

03Choosing a north‑star metric17:35

04Cohorts and retention curves22:10

05Instrumenting without a data team16:50

06Presenting metrics to leadership14:20

07Module 715:00

08Module 815:00

09Module 915:00

Remixes of this course

Shortened for onboarding · 4 modules · by Dele A.312 clones

With French subtitles · same outline · by Claire M.98 clones

Harder assessment (85% pass) · by Ravi K.41 clones

2,310

clones

6.1k

learners

4.9

avg rating

69%

pass rate

Cloning copies the outline, quizzes and assessment into your account. The video stays on YouTube; attribution to Claire Martin stays on the course.

Details

Duration3h 20m

Assessment15 questions · pass 75%

LanguageEnglish · FR subs

CertificateYes · verifiable

Fit for you

Slightly above your current level — the creator’s remix “Shortened for onboarding” may fit better.