Summer 2022 - STAT 270 D100
Introduction to Probability and Statistics (3)
Class Number: 4550
Delivery Method: In Person
Course Times + Location:
We 11:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
Fr 10:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
Exam Times + Location:
Aug 16, 2022
8:30 AM – 11:30 AM
SSCK 9500, Burnaby
1 778 782-3155
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.
Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Quantitative.
STAT Workshop Coordinators: Harsha Perera
- 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.
- Elementary probability rules, basic combinatorial formulae, conditional probability, Bayes' Theorem, and independence.
- Introduction to discrete distributions including the probability mass functions, expectation, the binomial distribution, and the Poisson distribution.
- 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.
- Single sample inference including estimation and testing of proportions and means.
- 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 (UAP) of the Canadian Institute of Actuaries (CIA). The CIA requires instructors to follow a detailed syllabus and to provide an anonymized individual distribution of all grades after the course is over. Note that 80% of the final grade is required to be composed of formal evaluations (e.g., tests, midterm exams, final exam) with formal control processes (i.e., formal proctoring). Instructors are also required to comply with the following practices: (1) no "best x of y" selection is to be used among several assessment methods, and (2) assessment weight is not to be transferred for the purpose of calculating the final grade. Details of required courses and grades at Simon Fraser University are provided 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).
COURSE-LEVEL EDUCATIONAL GOALS:
- Midterm 1 20%
- Midterm 2 20%
- Midterm 3 20%
- Final Exam 40%
- 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.
Introduction to Probability and Statistics, 2nd ed. by Tim Swartz. Publisher: Pearson.
Book is available through the SFU Bookstore
Department Undergraduate Notes:
Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or email@example.com.
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.
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 2022
Teaching at SFU in summer 2022 will involve primarily in-person instruction. Some courses may be offered through alternative methods (remote, online, blended), and if so, this will be clearly identified in the schedule of classes.
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote, online, or blended courses 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 may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (firstname.lastname@example.org or 778-782-3112) as early as possible in order to prepare for the summer 2022 term.