# Fall 2020 - STAT 270 D100

## Overview

• #### Course Times + Location:

Mo, We, Fr 9:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby

• #### Exam Times + Location:

Dec 19, 2020
12:00 PM – 3:00 PM
REMOTE LEARNING, Burnaby

• #### Prerequisites:

or Corequisite: MATH 152 or 155 or 158. 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 Coordinator: Marie Loughin

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).

Mode of teaching:

Lecture: synchronous (recorded)
Stats Workshop/tutorial: asynchronous
Quizzes: synchronous; dates TBA
Final exam: synchronous; date TBA

Remote invigilation with Zoom will be used for the final exam and so access to high-speed internet with audio and webcam will be required. During invigilation, camera and audio must be on with a full view of the workspace.

This course is accredited under the Canadian Institute of Actuaries (CIA) University Accreditation Program (UAP). Achievement of the minimum required grades in accredited courses may provide credit for preliminary exams. Please note that a combination of courses may be required to achieve exam credit. Details of required courses and grades at Simon Fraser University are available here (https://www.cia-ica.ca/membership/university-accreditation-program-home/accredited-universities/accredited-university-detail?pav_universityid=236ca8c4-60e5-e511-80b9-00155d111030).

In addition to the specific university’s internal policies on conduct, including academic misconduct, candidates pursuing credits for writing professional examinations shall also be subject to the Code of Conduct and Ethics for Candidates in the CIA Education System and the associated Policy on Conduct and Ethics for Candidates in the CIA Education System. For more information, please visit Obtaining UAP Credits (https://www.cia-ica.ca/membership/university-accreditation-program---home/information-for-candidates/obtaining-uap-credits) and the CIA FAQ (www.cia-ica.ca/docs/default-source/miscellaneous/uap/2018-uap-faq-and-career-brochure.pdf).

#### COURSE-LEVEL EDUCATIONAL GOALS:

• Quizzes (best 5 out of 6) 65%
• Final Exam 35%

#### NOTES:

• There will be no make-up quizzes.
• You must pass the final exam in order to pass the course.
• Students should be aware that the exam will be invigilated remotely and that they will be asked to show their work area to invigilators at all times.

Above grading is subject to change.

## Materials

#### MATERIALS + SUPPLIES:

Required Textbook:

Introduction to Probability and Statistics, 2nd ed. by Tim Swartz. Publisher: Pearson.
ISBN: 978-1-269-73721-0

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.