# Class 18: Topic 14: Sampling Distributions: Means

Back to Pause for Breath. On to Topic 15: Central Limit Theorem.

This outline is also available in PDF.

Held: Monday, 3 March 2008

Summary: We consider the question of how well the mean of a sample represents the mean of a population. In particular, we consider techniques that help us understand how one might answer that question.

Notes:

• Distributed: Answer key and notes for Exam 1.
• A few of you are spending too little time thinking and too much time copying homework answers.
• Homework for Wednesday: Activities 14-6, 14-7, 14-9, and 14-12.
• Let's look at some data from last class.
• Reminder: You should be completing the in-class section of each topic before doing the homework.

Overview:

• Means of samples vs. population means.
• How does CLT help?

Back to Pause for Breath. On to Topic 15: Central Limit Theorem.

Disclaimer: I usually create these pages on the fly, which means that I rarely proofread them and they may contain bad grammar and incorrect details. It also means that I tend to update them regularly (see the history for more details). Feel free to contact me with any suggestions for changes.

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Samuel A. Rebelsky, rebelsky@grinnell.edu

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