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Statistics & Data guides

Start here when you need a clean read on centre, spread, or probability. The flagship statistics guides are strongest for mean, weighted average, standard deviation, and z-score interpretation before you move into the live tools.

Summarise a list of numbers with mean, median, mode, range, variance, or standard deviation.
Handle combinations, permutations, and binomial probability without building the formulas by hand.
Check weighted averages or z-scores when comparing values against a wider dataset.
Flagship guideBest place to start

Descriptive Statistics

A fuller guide to mean, median, mode, range, and weighted average, focused on what each measure notices, what it ignores, and why the right summary depends on the shape of the data.

HTML guides

Reference articles for statistics & data.

Use these pages for formulas, worked examples, and common mistakes before or after you open a calculator.

Statistics & DataFlagship guide

Descriptive Statistics

A fuller guide to mean, median, mode, range, and weighted average, focused on what each measure notices, what it ignores, and why the right summary depends on the shape of the data.

Students, analysts, and anyone summarising a dataset quickly and accurately.Read guide
Statistics & DataFlagship guide

Variance, Standard Deviation, and Spread

A deeper guide to variance, standard deviation, range, and z-scores, with a focus on what spread means, why squared deviations appear, and how to interpret unusually high or low values.

Students, analysts, and anyone comparing how tightly data values cluster around the centre.Read guide
Statistics & Data

Counting Methods

A fuller guide to permutations and combinations, built around the key decision of whether order matters and how constraints change the counting model.

Students and analysts who need to count selections and arrangements accurately in probability, scheduling, and combinatorics.Read guide
Statistics & Data

Probability Foundations

A deeper guide to binomial-style probability thinking, focused on conditions, interpretation, and the difference between a neat formula and a justified model.

Students and problem-solvers who need probability answers that remain honest about independence, fixed trial count, and event definition.Read guide
Statistics & Data

Interpolation and Data Estimation

A fuller guide to linear interpolation, centred on when a straight-line estimate is reasonable, how to express the estimate honestly, and when extrapolation becomes risky.

Students, analysts, and technical users who estimate values between measured points and need to state the limits of that estimate clearly.Read guide
Downloads

Printable references for offline use.

These PDFs are designed for quick revision, planning, and repeat checking away from the browser.

Calculators

Jump straight back into the tools.

The guide hub keeps the conceptual pages and the live tools close together so you can move between explanation and calculation without losing context.