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Statistics for Analysts

The statistics an analyst actually uses: which average to report, what a p-value does and does not say, why the group that improved was always going to, and how to tell a finding from a coincidence.

Pathaxis · Original content

Written in house, from the work rather than from a syllabus. Every example is one we would use ourselves, and every quiz question explains why its answer is right.

81 min 6 lessons 16 quiz questionsStart course

What you’ll learn

  • Choose between mean and median, and say why the gap between them matters
  • Describe uncertainty in a way a decision maker can act on
  • State what a p-value means without the four common errors
  • Size an experiment before running it, and know why peeking breaks it
  • Recognise regression to the mean, survivorship and selection effects
  • Separate a correlation worth investigating from one worth ignoring

Before you start

  • · Comfort reading a chart and a table of numbers
  • · No mathematics beyond arithmetic

Syllabus

01

Describing data

Averages, spread, and what the shape tells you.

02

From sample to claim

Uncertainty, intervals and significance.

03

Being fooled

The effects that manufacture findings from nothing.