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Statistics for Researchers
Understand the numbers in research: spread, samples, confidence intervals, p-values and effect sizes, the traps that fool even experts, and how to report results honestly.
18 video lessons · about 35 min · free certificate
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Watch · module 1Thinking with data3 lessons
Watch · module 2Samples and uncertainty3 lessons
Watch · module 3p-values honestly3 lessons
Watch · module 4Common traps3 lessons
Watch · module 5Power and sample size3 lessons
Watch · module 6Reporting and reasoning3 lessons
What you will learn
- Look at data before testing it, and describe it with the right summary
- Explain standard errors and confidence intervals in plain words
- Say what a p-value is, what it is not, and why effect size matters more
- Spot p-hacking, multiple comparisons and Simpson's paradox
- Understand why small studies mislead, and how sample size is planned
- Report a result with an estimate, an interval and enough detail to trust it
Who it is for: Students who read or write papers with numbers in them. School maths is enough; no formulas to memorise.