STAT 2040 Lecture 17: Week 6 - Sampling Distributions, completed lecture guideline

• School: University of Guelph
• Department: Statistics
• Course: STAT 2040
• Professor: Jeremy Balka

Document Summary

Note: this is the lecture guideline given, with the spaces lled in. Some of the shorthand i use for typing might be different than what you use (ex. sqrt = square root) or i"ll type out the name of the symbol if i can"t type it (ex. sigma, mu). If you missed the lecture and just want the notes, this will be helpful but if you"re having dif culties understanding and need clari cation don"t download this note. Also note: the original lecture guideline that i"ve edited is not my intellectual property. 8msl videos (these are also given at appropriate places in this chapter): sampling distributions: introduction to the concept (7:52) (http://youtu. be/zbw-yvelsam, the sampling distribution of the sample mean (11:40) (http://youtu. be/q50gptdfyyi, introduction to the central limit theorem (13:14) (http://youtu. be/pujol1yc1_a) The concept of the sampling distribution of a statistic is fundamental to much of statis- tical inference.