The files listed here are the various chapters of the MUN publication “Lecture Notes for ENGI 4421 Probability & Statistics”.

Note that some key statements and diagrams are missing (deliberately) from these notes.
These omitted items of information will be provided in the lectures.
A complete version of each chapter will be provided only after all of the relevant lectures for that chapter have taken place.
All files are in pdf format.   You need the Adobe Reader (free from www.adobe.com) in order to view these files.

Anyone using older editions of the lecture notes should read the changes for the 2022 edition (which is a reprint of the 2016 edition).

Learning outcomes are also available for this course.

• Introduction;   Course Outline (first day handout, not available yet)
• Chapter 1   (Descriptive Statistics)
• Chapter 2   (Introduction to Probability)
• Chapter 3   (Counting Techniques)
• Chapter 4   (Laws of Probability, Bayes’ Theorem)
• Chapter 5   (Discrete Random Quantities; Expected Value & Variance)
• Chapter 6   (Continuous Random Quantities)
• Chapter 7   (Joint Probability Distributions; Correlation)
• Chapter 8   (Propagation of Error)
• Chapter 9   (Discrete Probability Distributions)
• Chapter 10   (Continuous Probability Distributions)
• Chapter 11   (Central Limit Theorem; One-sample Confidence Intervals)
• Chapter 12   (Two-sample Confidence Intervals)
• Chapter 13   (Hypothesis Tests)
• Chapter 14   (Chi-Square Tests)
• Chapter 15   (Simple Linear Regression)
• Chapter 16   (Suggestions for Formula Sheets)
• Chapter 17   (Statistical Tables)