Unit 5: Sampling Distributions

Sampling Lab Build a distribution by sampling the population. Unit 5: Sampling Distributions lets you explore this hands-on instead of only reading about it.

Study the behavior of sample statistics across many samples, forming the bridge between probability and statistical inference. It focuses on Parameters vs. Statistics, Sampling Distribution of a Sample Proportion, Sampling Distribution of a Sample Mean, Central Limit Theorem (CLT), Bias and Variability of Estimators, Conditions for Normality from the “Unit 5: Sampling Distributions” section.

The “Pop. Proportion (p) 0.50”, “Sample Size (n) 25” sliders change the key inputs; you can drag elements directly on the canvas; the “Capture Sample”, “Auto-Sample 50”, “Reset All” buttons run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

AP Statistics introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. The course is equivalent to a one-semester introductory college statistics course and focus… This demo is the interactive piece for the “Unit 5: Sampling Distributions” section. Open the full AP Statistics course wiki at https://www.getlykke.com/explore/public/ap-statistics-70553ac9-70f9-422d-b8b6-c328240d85c1 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Parameters vs. Statistics, Sampling Distribution of a Sample Proportion, Sampling Distribution of a Sample Mean, Central Limit Theorem (CLT), Bias and Variability of Estimators, Conditions for Normality — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on AP Statistics alone.