Statistical Inference
From a sample, how sure are you about a population claim — intervals, tests and p-values — with pandas labs on ExamMaster.
Undergraduate depth: concept notes and, where they help, in-browser labs. Reading is free.
Lessons
- Confidence intervalsIn Statistical Inference because an interval is a range for the unknown typical-week number, not a claim that the truth jumped.
- Hypothesis testsIn Statistical Inference because H0 and Ha are two stories about the population, and 5 of 8 is not weird enough to reject a coin.
- What a p-value isIn Statistical Inference because p is the chance of a result this weird if H0 were true — not the chance H0 is true.
- The sampling distributionIn Statistical Inference because the would-repeat picture — many weeks' means in one pile — is how we measure a sample's wobble.
- Why samples disagreeIn Statistical Inference because one week of the shop is noisy — a second eight customers at the same counter already move the numbers.
- What inference isIn Statistical Inference because the job is to take these rows and say how sure we are about a claim that reaches past them.
Practise Statistical Inference
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