Module 6 · Data, Statistics & Decision-Making

Deciding under uncertainty without being fooled: descriptive statistics, probability, inference, regression, and experiments.

What you'll be able to do after this module, the lesson plan, and the key frameworks.

Mean vs. median, spread, and how charts inform or deceive.

Probability, the normal distribution, and expected value.

Inferring from samples, confidence intervals, and testing whether an effect is real.

Reading a regression, and the most expensive mistake in data.

Running clean experiments and structuring decisions with expected value.

Interpret an A/B test and a regression correctly, then recommend a sound decision.