STAT 270: Introduction to Probability and Statistics at Simon Fraser University is a comprehensive course that explores a wide range of topics in probability and statistics. Students will delve into graphical and numerical descriptive statistics, elementary probability rules, basic combinatorial formulae, conditional probability, Bayes' Theorem, independence, discrete and continuous distributions, as well as single and two-sample inference.

✔ (Summary) What You Will Learn:

• Graphical and Numerical Descriptive Statistics: Students will learn about various tools and techniques, such as histograms, boxplots, scatterplots, sample mean, sample median, sample standard deviation, sample coefficient of relative variation, and sample correlation coefficient, to effectively summarize and visualize data.

• Elementary Probability Rules, Basic Combinatorial Formulae, Conditional Probability, Bayes' Theorem, and Independence: These concepts are fundamental to understanding probability and how events relate to each other under different conditions.

• Discrete Distributions: Students will explore probability mass functions, expectation, binomial distribution, and Poisson distribution, which are essential in modeling random discrete events.

• Continuous Distributions: This topic covers probability density functions, expectation, variance, coefficient of variation, cumulative distribution functions, uniform distribution, gamma distribution, exponential distribution, normal distribution, normal approximation to the binomial distribution, and jointly distributed random variables. These are vital for modeling continuous random phenomena.

• Statistics and Their Distributions: The Central Limit Theorem, a key result in probability theory, will be covered. It states that the distribution of the sum of a large number of independent and identically distributed random variables tends towards a normal distribution.

• Single Sample Inference: Students will learn about estimation and hypothesis testing related to proportions and means.

• Two Sample Inference: This section covers estimation and hypothesis testing for differences in proportions and means, considering both paired and non-paired data.

By the conclusion of this course, students will have gained a strong grasp of fundamental concepts in probability and statistics. They will be well-equipped to apply these principles to solve real-world problems effectively.

COURSE CODE

COURSE NAME

BUS 232

Data and Decisions I

BUS 233

Introduction to Business Law and Ethics

BUS 251 

Financial Accounting I

BUS 272 

Behaviour in Organizations 

BUS 312

Introduction to Finance

BUS 315

Investments

BUS 316 

Derivative Securities

BUS 320 

Financial Accounting: Assets

BUS 321 

Financial Accounting: Equity

BUS 322 

Intermediate Managerial Accounting

BUS 341 

Fundamentals of Marketing

BUS 410 

Financial Institutions

BUS 413 

Corporate Finance

ECON 103 

Principles of Microeconomics

ECON 105 

Principles of Macroeconomics

ECON 201 

Microeconomic Theory I: Competitive Behavior

ECON 233 

Introduction to Economic Data and Statistics

ECON 333 

Statistical Analysis of Economic Data

STAT 270 

Introduction to Probability and Statistics

STAT 485 

Applied Time Series Analysis