STAT 3022: Data Analysis

Spring 2012

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General information:

STAT 3022, Lecture #001: MWF, 9:05am - 9:55am in Phys 166

Email: stat3022@gmail.com

Instructor:

Feng Yi

492 Ford Hall (For appointment and emergency only)

Office hour: 350 Ford Hall, Tuesday, 2pm - 4pm or by appointment.

Teaching Assistant:

Lab #002: Tiantian Chen

Office hour: 350 Ford Hall, Wednesday, 3:00pm - 4:00pm

Lab #003, #004: Yanjia Yu

Office hour: 350 Ford Hall, Monday, 2:20pm - 4:20pm

Textbook:

Fred Ramsey and Dan Schafer (2002) The Statistical Sleuth (2th Edition), Duxbury Press.

ISBN-10: 0534386709 | ISBN-13: 978-0534386702

Course description:

Practical survey of applied statistical inference and computing covering widely used statistical tools: multiple regression, variance analysis, experiment design, nonparametric methods, model checking and selection, variable transformation, categorical data analysis, logistic regression.

Grading:

Homework: 20%

Midterm Exam I + II: 20% + 20%

Final Exam: 40% (30% in-class + 10% take-home)

Your final grade for this course will be determined entirely by your performance on homeworks, midterms and final exam. Final grades may be adjusted. If you are taking the class S/N, you will need a C- or higher to earn an S grade.

Homework:

Homework will be assigned on a weekly basis and it is due on Wednesday in class meetings. No late homework will be accepted for any excuse. It is possible that only part of the assigned problems will be graded. Graded homework will be returned on Tuesday lab. It is fine for students to work together on homework problems, but write-up of the solutions must be done independently. Your understanding of the lecture will be tested in each test. It is your responsibility to seek help on all problems that you cannot do.

R Computing:

R homepage: R

R download: R for Linux, Mac and Windows

R tutorial: 1, 2

R manual: R introduction

R package: Sleuth2, Rcmdr.

Exam Schedule:

Midterm I: 9:05am - 9:55am Wednesday, Feb 29

Midterm II: 9:05am - 9:55am Wednesday, Apr 11

Final: 8:00am - 10:00am Saturday, May 12

There will be three exams in this course: each midterm takes one hour and the final will last 2 hours. If the exam date above overlaps with another exam you have, you need to inform the instructor and resolve this by the first three weeks of class.

You cannot miss any mid-term or final. Make-up will be given only for emergencies (proper documents must be submitted). Otherwise, if you miss the mid-term/final, you will receive a zero for the exam. Note that social/vacation plans are not legitimate reasons for missing an exam. See the University and School of Statistics policy on incompletes below.

Incompletes:

University and department policy is that "I" grades are used only when there is a small amount of unfinished work that the student can complete on his or her own before the end of the following semester, when there was a legitimate excuse why the work could not be done on time, and when arrangements have been made with the instructor as to when the work will be done. "I" grades are not given when there is a large amount of work undone and the student would need to attend the class in the next semester to learn the material.

Disability Access Statement:

Please contact Mary, School of Statistics, 313 Ford, 625-7300.