What This Document Is
This document is a lab activity for Miami University’s STA 261 Statistics course, specifically focused on Module 7: Bootstrapping. It provides exercises designed to be completed *before* a corresponding Canvas assessment. The lab centers on understanding how sample statistics vary and utilizing bootstrapping techniques to construct confidence intervals.
Why This Document Matters
This lab is essential for students in STA 261 who need practical experience applying bootstrapping methods. It’s used to reinforce the theoretical concepts covered in Module 7 and prepare for evaluation on the Canvas platform. Students will work with real-world datasets, like Atlanta commute times, to build confidence intervals and interpret their meaning.
Common Limitations or Challenges
This lab activity does not *teach* the fundamentals of bootstrapping. It assumes prior knowledge of the core concepts. It also doesn’t provide solutions or step-by-step instructions; it’s designed for students to actively apply their understanding. The document focuses on application and interpretation, not initial learning.
What This Document Provides
This lab includes:
* Guidance on using the percentile method for constructing confidence intervals.
* A comparison of the percentile method with the standard error method (and when the latter is appropriate).
* Exercises using the StatKey website (www.lock5stat.com/statkey/) with the Atlanta Commute Time dataset.
* Specific questions to answer regarding sample statistics, bootstrap distributions, and confidence interval interpretation.
* A second section introducing bootstrapping for single proportions (details not fully shown in this preview).
This preview does *not* include the completed answers to the questions, the full dataset exploration, or the second part of the lab focusing on proportions. It is intended to give you an overview of the lab’s scope and requirements.
