The T-Distribution: Tail Weight Explorer

Learn to perform inference for population means, including the use of the t-distribution when the population standard deviation is unknown. The T-Distribution: Tail Weight Explorer turns that idea into something you can manipulate directly and watch respond.

Learn to perform inference for population means, including the use of the t-distribution when the population standard deviation is unknown. It focuses on The T-Distribution and Degrees of Freedom, One-Sample T-Intervals and Tests, Two-Sample T-Intervals and Tests, Paired T-Procedures, Conditions for Inference (Normal/Large Sample), Robustness of T-Procedures from the “Unit 7: Inference for Quantitative Data: Means” section.

The sliders change the key inputs. 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 7: Inference for Quantitative Data: Means” 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 The T-Distribution and Degrees of Freedom, One-Sample T-Intervals and Tests, Two-Sample T-Intervals and Tests, Paired T-Procedures, Conditions for Inference (Normal/Large Sample), Robustness of T-Procedures — 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.