STAT 251

Welcome to the homepage of STAT 241/251 for the academic year of 2009/2010 Winter Term 2.  This page contains links to all of the important course material.  Make sure to check this website regularily as the majority of the course material will appear here.
 

 
*** Copies of old exams will be sold by the statistics graduate students at the labs, the week of April 6-9th.  These are the ONLY TIMES you will be able to get one, so if you would like an old exam package, please go by the labs this week ***

Course Outline for Stat 251

Schedule of Topics

Dates Lectures Labs
Jan 4-8 Chapters 1, 2 No Labs
Jan 11-15 Chapter 3 Introduction to R (Lab1)
Jan 18-22  Chapter 3 Lab 2 - Descriptive Statistics
Jan 25-29  Chapter 4 Lab 3 - Manipulating objects 
Feb 1-5  Chapter 4 Assessment of Labs Begins this week
A catch-up week, to finish anything
remaining from Lab 3 
 
Feb 8-12  Chapter 4 Lab 4 - Expected Values for selected
Casino Games
Feb 15-19  NO CLASSES ALL WEEK   
Feb 22-26  NO CLASSES ALL WEEK  
Mar 1-5  Chapter 5, 6 Lab 5 - Control Charts 
Mar 8-12  Chapter 6, 7 Midterm Review and office hours 
Mar 15-19  MIDTERM Monday
Chapters 8
Lab about Poisson Process
Mar 22-26  Chapter 8 Lab 6 - Central Limit Theorem
Mar 29-Apr 2  Chapter 8, 10
NO CLASS Friday Apr 2
Lab on Confidence Intervals and
Hypothesis testing (people in friday labs
are encouraged to attend another lab
during the week)
Apr 5-9  Chapter 10 
NO CLASS Monday Apr 5
Lab on ANOVA in R
Old exam packages can be
purchased at the labs 
Apr 12-14  Chapter 11  No Labs
     

Instructor Information

Mike Marin
Office - LSK 375B
Email: mmarin@stat.ubc.ca
Office hours - I will hold all office hours by appointment.  In the past I have found that not many students come to office hours as they are not convenient, and I end up seeing most students on individual appointments anyway.  Just send me and email or speak with me in class and we can arrange a time...I’m fairly accomodating.  During exam times, extra office hours will be held by me as well as the TAs.

Brief Course Description

* Descriptive Statistics (CH #1/2)
* Probability and probability models (CH #3)
* Random variables and distributions (CH #4-6)
* Central limit theorem (CH #7)
* Statistical estimation and hypothesis testing (CH #8)
* Analysis of variance (CH #10)
* Selected topics from regression analysis (CH #11)

Course Assesment

Labs - 5%
Assignments - 15%
Midterm Exam - 30%
Final Exam - 50% (must pass the final exam to pass the course)

a place of mind, The University of British Columbia

Department of Statistics

E-mail: slate@stat.ubc.ca

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