Statistics 13, Spring 2011
 Overview In this course, we will present a broad introduction to some of the fundamental tools and concepts of statistics. Topics include the representation and interpretation of data, descriptive statistics and graphical displays, hypothesis testing, and an introduction to correlation and regression. We will emphasize quantitative reasoning and the practice of statistics. Lectures    Lecture 1: Introduction      (Bills of Mortality, early significance testing,       "a data society?", course themes)     Lecture 2: Reshaping and transforming data     Lecture 3: EDA (basic graphics and extensions)     Lecture 4: Randomized controlled trials, re-randomization tests     Lecture 5 Testing, random number generation     Lecture 6 A/B testing     Lecture 7 Transformations, 2003 recall election     Lecture 8 Four views of probability     Lecture 9 Normality     Lecture 10 The bootstrap (I)     Lecture 11 The bootstrap (II)     Lecture 12 The classics     Lecture 14 Regression (I)     Lecture 15 Regression (II)     Lecture 16 The classics (II) Homework Your homework will be a mix of problems from the text as well as assignments that require using the computer (R). We will avoid having you do a lot of tedious hand calculations, and instead focus your "written" output on interpretations. Labs Lab assignments are designed around the programming language, R. You should show up in lab each Thursday, even if you intend to use your own computer to complete the assignment; this will give the TA the opportunity to tell you what he expects you to hand in and for you to ask any questions. Because R runs on almost every computing platform, you are certainly encouraged to work at home. (Who am I to stop the "spread" of computing technology?) Due 4/7: Introduction Due 4/14: EDA Part 1 (4 questions) Due 4/21: Re-randomization (4 questions) Due 5/12: The bootstrap (3 questions) Due 5/19: Confidence intervals Due 6/2: Regression
Instructor    Mark Hansen
8951 Mathematical Sciences Building
cocteau@stat.ucla.edu
www.stat.ucla.edu/~cocteau
AIM: cocteautt

Meeting    MW 3-4:20
1220b Kinsey Pavillion

Office Hours    Th, Fr TBD
8951 Mathematical Sciences