STAT 431/STAT 511: Statistical Inference Summer
Session II 2006 G94 JMHH MTWR
10:40-12:15pm
Instructor:
Zhihua Qiao
Office: 427.2 JMHH
Email: zhqiao@wharton.upenn.edu
Office hours:
Text: Probability
and Statistics for Engineering and the Sciences, by Jay L. Devore, 6th edition,
Thomson Brooks/Cole Publishers, 2004.
Website: http://stat.wharton.upenn.edu/~zhqiao/STAT431-511/index.html
Some course materials will be made available here,
including data sets, homework, review stuff and solutions, in addition to any
announcements that may need to be made.
Statistical Computing Package: JMP-IN Version 5.0. It is recommended that you have a copy
of the software on your own computer. If not, you can find the software in the
Wharton computer labs (F75 and F80 JMHH). To use Wharton computing facilities,
you will need to apply for an account in F35 JMHH (Wharton students do not need
to).
Homework: There will be approximately 5 homework assignments. Homework problems
will involve calculations by hand and
the use of JMP-IN. No late homework will be accepted.
Quizzes:
There will be 4 or 5 quizzes: Each quiz
will be approx. 15 minutes.
Quizzes
will be closed book. A one-sided formula sheet is allowed. There are no makeup
quizzes.
Exams: There will be 1 midterm and 1 final exam. Both will be given in-class.
Midterm: (tentative): July 17, Monday
Final (cumulative): August 3, Thursday
กค Exams will be closed book; however, you will be allowed a formula sheet (2 sides of 8.5" by 11" sheet of paper) and a calculator.
กค There is no makeup for the midterm. The only excuses for missing an exam are a serious illness or a major family crisis. Proof must be provided in the form of an official document. A note from a family member alone is not sufficient.
กค You have until one week after receiving your grades on the quizzes/exams to dispute the grade; the same applies to any homework grade. Note that when asking for a question to be re-graded, the entire assignment/exam may be re-graded, and so you run the risk of losing more points than you gain back.
กค It is recommended that exams be done in pen. Use of pencil voids the students right to request a re-grade of the exam.
Grading: Homework: 20% (best 4 out of 5 count)
Quizzes: 20%
Midterm: 25%
Final Exam: 35%
Class schedule: (no class on July 27)
Lecture 1 (June 26): Introductory class
Lecture 2 (June 27): Confidence intervals.
Lecture 3 (June 28): confidence intervals
Lecture 4 (June 29): introduction to hypothesis testing
Lecture 5 (July 5): one-sample hypothesis testing
Lecture 6 (July 6): one-sample hypothesis testing
Lecture 7 (July 7): two-sample hypothesis testing and confidence intervals
Lecture 8 (July 10): two-sample hypothesis testing and confidence intervals
Lecture 9 (July 11): two-sample hypothesis testing and confidence intervals
Lecture 10 (July 12): examples and review
Lecture 11 (July 13): simple linear regression (not in the midterm)
Lecture 12 (July 17): midterm
Lecture 13 (July 18): simple linear regression
Lecture 14 (July 19): simple linear regression
Lecture 15 (July 20): simple linear regression
Lecture 16 (July 24): multiple linear regression
Lecture 17 (July 25): multiple linear regression
Lecture 18 (July 26): multiple linear regression
Lecture 19 (July 31) categorical data
Lecture 20 (Aug 1): examples and review
Lecture 21 (Aug 2): review
Lecture 22 (Aug 3): final