Simon Fraser University
Engaging the World

Course Outlines

Spring 2019 - STAT 285 D100

Intermediate Probability and Statistics (3)

Class Number: 3410

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 8, 2019: Tue, 11:30 a.m.–1:20 p.m.
    Burnaby

    Jan 3 – Apr 8, 2019: Thu, 11:30 a.m.–12:20 p.m.
    Burnaby

  • Exam Times + Location:

    Apr 16, 2019
    Tue, 12:00–3:00 p.m.
    Burnaby

  • Prerequisites:

    STAT 270.

Description

CALENDAR DESCRIPTION:

This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference using survey results and experimental data. Statistical model building. Elementary design of experiments. Regression methods. Introduction to categorical data analysis. Quantitative.

COURSE DETAILS:


Outline:

  1. Review of STAT 270 material and relationship to this course
  2. Statistical Models
  3. Parameter estimation - least squares and likelihood methods
  4. Hypothesis tests
  5. Introduction to Regression Analysis - simple and multiple
  6. Analysis of Variance
  7. Categorical Data Analysis

Grading

  • Homework Assignments 10%
  • Midterm 1 20%
  • Midterm 2 20%
  • Final Exam 50%

NOTES:

Above grading is subject to change.

Materials

REQUIRED READING:

Required Textbook:

Probability and Statistics for Engineering and the Sciences (9th ed.) by Jay L. Devore. Publisher: Duxbury Press

Department Undergraduate Notes:

Students with Disabilites:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or csdo@sfu.ca


Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.

Registrar Notes:

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS