STAT 203

Welcome to the STAT 203 Winter 2009/2010, Term 2 homepage.  This course website has all the necessary information for the course.  The main page displays the planned weekly lecture/tutorial schedule as well as any important announcements.  It also contains my contact information.  You can also find links to the on-line lecture notes, material necessary for tutorials, suggested exercises and exam information.

Copies of old exams with solutions will be sold by the TAs at the tutorials the week of April 6 - 9.  These are the ONLY times you will be able to pick one if you would like one, make sure to go to the tutorials!

Instructor: Mike Marin
Office: LSK 375B 
Office Hours: By Appointment

Schedule of Topics

Dates Lectures Tutorials
 Jan 4 - 8 Chapters 1, 2, 3 No Tutorials
 Jan 11 - 15 Chapters 3, 4, 5 M&M’s and Contingency Tables
 Jan 18 - 22 Chapters 5, 6 Review of Chapters 4 and 5, QUIZ
 Jan 25 - 29 Chapters 6, 7 Review of Chapter 6 
 Feb 1 - 5 Chapters 8, 9, 12 Chapter 7, 8, 9 Activity
 Feb 8 - 12 Midterm 1 Monday 8th No Tutorials 
 Feb 15 - 19 NO CLASSES ALL WEEK  
 Feb 22 - 26 NO CLASSES ALL WEEK  
 Mar 1 - 5 Chapter 12, 13 Review of Chapter 12 
 Mar 8 - 12 Chapters 14
Chapter 12/13 Activity, QUIZ 
 Mar 15 - 19 Chapters 15, 18
Chapter 14/15 Exercises, QUIZ 
 Mar 22 - 26 Chapters 18, 19
Midterm 2 Friday 26th
Wednesday tutorial is
Office hours open to all.
Friday tutorial is cancelle
 Mar 29 - Apr 2 Chapter 20, 21
No Class Friday Apr 2
No Tutorials
 Apr 5 - 9 Chapter 23
No Class Monday Apr 5 
Chapters 18-21 review
Old exam packages can be purchased
at the tutorials this week 
 Apr 12 - 14 Last Lecture on 14th No Tutorials 


Course Description: Organizing, displaying and summarizing data. Inference based on elementary probability models including estimation and hypothesis testing. Faculty of Science credit will not be given. Credit will be given for only one of Statistics 203 and Statistics 200. Students who have taken Mathematics 100 are advised to take Statistics 200 rather than Statistics 203.

Prerequisites: Mathematics 11

Objectives: Determining the validity of a political, economic, legal or scientific argument calls for the weighing of evidence. Often this evidence consists of data. In this course, you will learn statistical methods for presenting and evaluating data. You will also develop ways of thinking critically about data collection and analysis.

Textbook: Intro Stats by De Veaux, Velleman and Bock (3rd Edition), Addison Wesley, 2009.

Computer use: You will need a calculator that can do basic arithmetic, including taking square roots. Use of a computer is only required to access information on the web site. The diskette included with your text (MathXL) contains useful discussion and examples, exercises, and data analysis instructions for Excel and Datadesk. We encourage you to use the diskette at home.

Course Evaluation:  

Evaluation Date Percentage
Midterm 1 TBA 25% 
Midterm 2 TBA 25% 
Tutorial quizzes Regularly in Tutorials 5% 
Final Exam TBA 45%


1. No make-up midterms and final exam! 
2. Final exam will cover all material presented in the course. 
3. A simple scientific calculator should suffice. Please refrain from using a programmable or graphical calculator.

Chapters to be covered:

Chapters 1-6: Exploring and understanding data (displays and summaries of categorical and quantitative data, normal model) 
Chapters 7-9: Exploring relationships between variables, (scatterplots, correlation, regression) 
Chapters 12,13: Gathering data (sample surveys, experiments) 
Chapters 14, 15, 18: Randomness and probability, central limit theorem 
Chapters 19-21: Inference for proportions 
Chapters 23-25: Inference for means (Ch 24-25 if time permits)

a place of mind, The University of British Columbia

Department of Statistics


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