Summer 2020 - STAT 270 D100

Introduction to Probability and Statistics (3)

Class Number: 2857

Delivery Method: In Person

Overview

  • Course Times + Location:

    We 11:30 AM – 12:20 PM
    REMOTE LEARNING, Burnaby

    Fr 10:30 AM – 12:20 PM
    REMOTE LEARNING, Burnaby

  • Exam Times + Location:

    Jun 17, 2020
    6:00 PM – 8:00 PM
    REMOTE LEARNING, Burnaby

    Jul 15, 2020
    6:00 PM – 8:00 PM
    REMOTE LEARNING, Burnaby

    Aug 19, 2020
    8:30 AM – 11:30 AM
    Location: TBA

  • 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 function, expectation, the binomial distribution, and the Poisson distribution, joint distributions.
  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, joint 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 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

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).

This course will be offered entirely online. Lectures will be pre-recorded and posted on Canvas. Office hours will take place via video conferencing. Exams will be take-home; you will receive the questions and will submit your answers during the originally scheduled exam times.

Grading

  • Assignments 20%
  • Midterm 1 20%
  • Midterm 2 20%
  • Final Exam* 40%

NOTES:

There will be no make-up midterms or assignments.

* You must pass the final exam in order to pass the course.

All above grading is subject to change.

Materials

MATERIALS + SUPPLIES:

R can be accessed via Jupyter, an online platform, at https://sfu.syzygy.ca/. Alternatively, R Studio and R statistical software can be downloaded free of charge from https://www.rstudio.com/ and https://cran.r-project.org/, respectively.

REQUIRED READING:

Required Textbook:

Choice of one of the following two books:  

(Recommended*) Probability and Statistics for Engineering and the Sciences, 9th ed. by Jay L. Devore. Publisher: Cengage Learning.   

Introduction to Probability and Statistics, 2nd ed. by Tim Swartz. Publisher: Pearson.    

*This book is available online for a modest charge at vitalsource.com. It is especially recommended for students who plan to take that STAT 285 after completing STAT 270 (it is the required textbook for STAT 285). It is also recommended for students who would like a comprehensive textbook for STAT 270.  

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:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

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

TEACHING AT SFU IN SUMMER 2020

Please note that all teaching at SFU in summer term 2020 will be conducted through remote methods. Enrollment in this course acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as soon as possible to ensure that they are eligible and that approved accommodations and services are implemented in a timely fashion.