Spring 2024 - STAT 270 D900

Overview

• Course Times + Location:

Jan 8 – Apr 12, 2024: Mon, 12:30–2:20 p.m.
Surrey

Jan 8 – Apr 12, 2024: Wed, 12:30–1:20 p.m.
Surrey

• Exam Times + Location:

Apr 19, 2024
Fri, 8:30–11:30 a.m.
Surrey

• Prerequisites:

or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first.

Description

CALENDAR DESCRIPTION:

Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Quantitative.

COURSE DETAILS:

STAT Workshop Coordinators: Marie Loughin/Sonja Isberg

Outline:

1. Introduction to graphical and numerical descriptive statistics including the histogram, boxplot, scatterplot, sample mean, sample median, sample standard deviation, sample coefficient of relative variation, and sample correlation coefficient.
2. Elementary probability rules, basic combinatorial formulae, conditional probability, Bayes' Theorem, and independence.
3. Introduction to discrete distributions including the probability mass functions, expectation, the binomial distribution, and the Poisson distribution.
4. Introduction to continuous distributions including the probability density function, expectation, variance, coefficient of variation, the cumulative distribution function, uniform distribution, gamma distribution, exponential distribution, normal distribution, normal approximation to the binomial distribution, jointly distributed random variables, statistics and their distributions, the Central Limit Theorem.
5. Single sample inference including estimation and testing of proportions and means.
6. Two sample inference including estimation and testing of differences in proportions and differences in means (paired and non-paired data).

This course is part of the University Accreditation Program and meets specific requirements set by the Canadian Institute of Actuaries (CIA). Please consult the CIA website for full details on CIA accreditation.

COURSE-LEVEL EDUCATIONAL GOALS:

• Homework assignments 8%
• Midterm 1 20%
• Midterm 2 20%
• Final Exam 52%

NOTES:

• There will be no make-up midterms.
• You must pass the final exam in order to pass the course.

Above grading is subject to change.

Materials

Required Textbook:

Introduction to Probability and Statistics, 3rd ed. by Tim Swartz. Publisher: SFU Courseware.

Book is available through the SFU Bookstore

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

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

Tutor Requests:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.