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Module 3 · Data Analytics: Statistics & Data Visualization

Sampling & Hypothesis Testing: lessons

Why sample means behave so predictably, what a p-value really means, and how much data you need.

3 lessons · 58 min

What this module teaches, what it asks of you first and how you practise it are on its syllabus page.

Open the syllabus
  1. The Central Limit Theorem

    18 min

    Take the mean of many samples and their distribution approaches a normal curve — almost whatever the shape of the original data. It is why most inferential statistics works.

    Included with the track Simulation inside
  2. p-Values and Statistical Power

    22 min

    A p-value answers a very specific question — and almost never the one you want to ask. Power tells you whether your experiment could find anything in the first place.

    Included with the track Simulation inside
  3. Confidence Intervals

    18 min

    What "95%" actually promises, and why an interval is more honest than a single p-value.

    Included with the track Simulation inside