Spring 2019 - STAT 270 D100
Introduction to Probability and Statistics (3)
Class Number: 3418
Delivery Method: In Person
Course Times + Location:
Mo, Fr 9:30 AM – 10:20 AM
WMC 3520, Burnaby
We 9:30 AM – 10:20 AM
SSCC 9002, Burnaby
Exam Times + Location:
Apr 13, 2019
3:30 PM – 6:30 PM
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.
Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Quantitative.
Lab Instructor: Marie Loughin
- Introduction to graphical and numerical descriptive statistics including the histogram, boxplot, scatterplot, sample mean, sample median, sample standard deviation, 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).
- Quiz 1 12%
- Quiz 2 12%
- Quiz 3 12%
- Quiz 4 12%
- Final Exam 52%
Above grading is subject to change.
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.
Introduction to Probability and Statistics, 2nd ed. by Tim Swartz. Publisher: Pearson.
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 email@example.com
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.
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ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS