OpenAha
00
All courses
Math · Intermediate

Statistics

Data is everywhere, and so are misleading numbers. Learn which "average" to trust, measure spread, see bell curves emerge from randomness, understand margins of error, avoid the classic traps of correlation and Simpson's paradox, place values with z-scores and box plots, and spot biased samples.

8 lessons~40 min0/8 complete
Start courseHelpful background: Probability
1

Describing Data

Centres and spreads.

  1. Which Average?Mean, median and outliers
  2. SpreadStandard deviation
2

Distributions and Samples

Bell curves and margins of error.

  1. The Bell CurveNormal distributions
  2. Polls & Margins of ErrorHow big a sample?
3

Relationships

Correlation, causation and paradoxes.

  1. CorrelationNot causation
  2. Simpson’s ParadoxWhen the totals lie
4

Positions and Pitfalls

Where a value stands, and where samples mislead.

  1. Percentiles & z-ScoresHow unusual is a value?
  2. Biased SamplesWhen the data you see isn’t the whole story

Courses that build on this

Ready for more? These courses use what you learn in Statistics.

Math · Intermediate

Power Laws & Surprising Statistics

Why 1 is the most common first digit, why “the” rules English, and when averages lie.

7 lessons3 chapters
Math · Advanced

Machine Learning

How computers learn from examples: neighbours, trees, clusters, spam filters and recommendations.

8 lessons3 chapters