STAT 200 Elementary Statistics for Applications
(Section 101, Fall 2006)
Class Web-page: http://www.ugrad.stat.ubc.ca/ stat200/
quently!)
(please check it out fre-
Instructor: Lang Wu, Associate Professor, Department of Statistics, LSK 324, 6356 Agricultural Road, UBC.
Office hours: Monday & Thursday 2:00pm - 3:00pm, LSK 324
Teaching Assistants and TA office hours: see class webpage.
Lecture: Mon & Wed & Fri, 9:00am - 9:50am (Sep 05 to Dec 01, 2006),
Room: LSK 200
Text: Introduction to the Practice of Statistics, by D.S. Moore and G.P. McCabe, 5th edition.
(The textbook is required.)
Prerequisite: Math 101, or 103, or 105, or 121.
Audience: Science (or other) students considering a program in statistics or requiring an
introductory course in statistics.
Description: Introduction of the basic concepts of statistics and basic statistical techniques
for different types of data and problems, the breadth of application of statistical techniques,
and some statistical softwares. We will use Excel (software) in the lab (statistical softwares
Splus/R and SAS may be used by the instructor for class illustration). We will roughly follow
the textbook and cover most chapters. However, some materials in the text may be skipped
and additional materials not in the text may be presented in the lectures.
We suggest that you discuss homework/exam problems in the lab or during TA/instructor
office hours. Try to use email for urgent matters only.
Lab: You must register for and attend one of the labs sessions. You will learn computer
softwares and see more examples in the lab. The first lab session starts in the second week
of class (the week of September 11). Lab location: Math/Stat Resource Centre, Room 2 (6357
Agriculture Road, just across the street of the LSK building where lectures are given).
Homework: Please check class webpage for regular homework assignments. Solutions to all
assignments will be posted online. You do not need to hand in most homework, but we will
collect three homework assignments and mark them (we will announce these in advance).
Exams: There will be two midterm exams and a final exam. The two sections will have
different midterms, but will have the same final exam. No make-up midterms and final exam.
“Cheat sheets” will be allowed. If you miss a midterm with good reason, the weight of that
midterm will be carried to the other midterm. The final exam must be passed to pass this
course. Tentative schedules of midterms: Midterm I - October 13 (Friday), Midterm II November 10 (Friday).
Evaluation: Lab projects/homework: 5%, Midterm I: 20%, Midterm II: 20%, Final Exam:
55%. The weights may be adjusted if necessary.
References: Excel Manual for the textbook.
1