Week 8 / Module 7 — Point Estimation and Confidence Intervals

This module outline covers point estimation (sample mean and proportion), sampling distributions, the Central Limit Theorem, and constructing confidence intervals for means, serving as a navigational overview of all topics in Module 7.

This interactive bonus example walks learners through a battery manufacturing scenario in which they calculate point estimates for the population mean and standard deviation and construct confidence intervals using real sample data from 30 tested batteries.

This artifact serves as a landing page linking learners to the Module 7 PowerPoint slides and lecture materials covering statistical estimation theory and practice.

This main module page introduces the concepts of estimation, point estimators, and confidence intervals, consolidating explanatory content and linking to supporting lectures so learners can read and study the core theory for Module 7.

This 38-question quiz bank assesses learners on key Module 7 topics including sample mean notation, standard error, interpretation of confidence intervals, simple random sampling, and maximum likelihood estimation, and is used by instructors to build graded quizzes.

This graded discussion assignment asks learners to query an AI tool about how to estimate expected values in a statistics context, then copy and paste the AI's response for evaluation, prompting reflection on statistical estimation concepts.

This graded assignment uses a battery manufacturing quality control scenario to have learners calculate point estimates for the population mean and standard deviation and construct confidence intervals from a sample of 30 batteries, applying the core skills of Module 7.