PDB_Stat_100_Lecture_05_Printable

PDB_Stat_100_Lecture_05_Printable - STA 100 Lecture 5 Paul...

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STA 100 Lecture 5 Paul Baines Department of Statistics University of California, Davis January 12th, 2011
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Admin for the Day I Homework 1 due today I Homework 2 posted today, due Wednesday, Jan 19th in class I Comments: Negative values 6 = Wrong answer. , No right way to do something (only a better way). , References for Today: Rosner, Ch 3.1-3.6 (7th Ed.) References for Friday: Rosner, Ch 3.7-3.8 (7th Ed.)
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Recap: Parameters vs. Statistics The most important slide in the whole course: I Parameters : Population quantities (what we care about) I Statistics : Sample quantities (what we actually get) Really understanding the differences between estimands and estimators, and their properties is key to understanding many statistical methods.
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Estimating Population Quantities For the Minnesota Health Study, we care about the incidence of heart attacks in the Minneapolis-St.Paul area. I Parameter of Interest : Proportion of population who have had a heart attack. I Statistic : Proportion of sample who have had a heart attack. We use statistics to estimate parameters.
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Parameters vs. Statistics Notation: I Parameters are usually denoted by greek letters e.g., μ , σ 2 , θ I Statistics are usually denoted by roman letters e.g., ¯ x , s 2 , T
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Types of Samples I Random sample : When every individual has a chance of being in the sample, and individuals are chosen independently.
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This note was uploaded on 01/17/2012 for the course STAT 100 taught by Professor drake during the Fall '10 term at UC Davis.

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PDB_Stat_100_Lecture_05_Printable - STA 100 Lecture 5 Paul...

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