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Unformatted text preview: Statistics 191: Introduction to Applied Statistics Jonathan Taylor Department of Statistics Stanford University Statistics 191: Introduction to Applied Statistics Review Jonathan Taylor Department of Statistics Stanford University January 6, 2010 1 / 1 Statistics 191: Introduction to Applied Statistics Jonathan Taylor Department of Statistics Stanford University Outline What is a regression model? Descriptive statistics numerical Descriptive statistics graphical Inference about a population mean Difference between two population means 2 / 1 Statistics 191: Introduction to Applied Statistics Jonathan Taylor Department of Statistics Stanford University What is course about? It is a course on applied statistics. Handson: we use R, an opensource statistics software environment. We will start out with a review of introductory statistics to see R in action. Main topic is (linear) regression models: these are the bread and butter of applied statistics. What is a regression model? A regression model is a model of the relationships between some covariates (predictors) and an outcome . Specifically, regression is a model of the average outcome given the covariates. 3 / 1 Statistics 191: Introduction to Applied Statistics Jonathan Taylor Department of Statistics Stanford University Heights of couples To study height of the wife in a couple, based on the husbands height and her parents height: Wife is the outcome, and the covariates are Husband, Mother, Father . A mathematical model, using only Husband s height: Wife = f ( Husband ) + where f gives the average height of the wife of a man of height Husband and is error: not every man of height of Husband marries a woman of height f ( Husband ). A statistical question: is there any relationship between covariates and outcomes is f just a constant? Here is some http://stats191.stanford.edu/review.htmldata using only 4 / 1 Statistics 191: Introduction to Applied Statistics Jonathan Taylor Department of Statistics Stanford University Heights data R code 5 / 1 Statistics 191: Introduction to Applied Statistics Jonathan Taylor Department of Statistics Stanford University Heights data Linear regression models We might model the data as Wife = + 1...
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This document was uploaded on 03/16/2010.
 Winter '09
 Statistics

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