Important external links
Cornell Notes: Advice on how to efficiently take written notes
Lecture notes: Required reading for this course
Class 1: August 24th, 2026
Orientation.
Class 2: August 26th, 2026
Probability. Random
variables
Wikipedia: Set notation
Problem Set #1: Material we will work on in class
Problem Set #1: Solutions
Class 3: August 28th, 2026
Discrete random
variables. Conditional probability.
Problem Set #2: Material we will work on in class
Homework #1 – due on Friday, September 4th, 2026
Class 4: August 31st, 2026
Independence. More on
discrete random variables.
Problem Set #2: Solutions
Class 5: September 2nd, 2026
Named discrete
distributions.
Wikipedia: The binomial theorem
Wikipedia: Pascal’s triangle
Mathematica demonstration: The binomial distribution
Problem Set #3: Problems we will work on in class
Mathematica demonstration: The geometric distribution
Wikipedia: The Poisson distribution
Problem Set #3: Solutions
Class 6: September 4th, 2026
Expectation.
Variance.
Homework #2 – due on Friday, September 11th, 2026
Class 7: September 9th, 2026
More on expectation
and variance.
Problem Set #4: Problems we will work on in class
Problem Set #4: Solutions
Class 8: September 11th, 2026
Continuous
distributions.
Problem Set #5: Problems we will work on in class
Homework #3 – due on Friday, September 18th, 2026
Class 9: September 14th, 2026
More on continuous
distributions. The normal distribution.
Standard Normal Distribution Areas from the Wolfram Demonstrations Project by Ian McLeod
The Normal Distribution from the Wolfram Demonstrations Project by Ian McLeod
Area of a Normal Distribution from the Wolfram Demonstrations Project by Eric Schulz
Problem Set #5: Solutions
Class 10: September 16th, 2026
The cumulative
distribution function (cdf).
Problem Set #6: Problems we will work on in class
Problem Set #6: Solutions
In-Term One: Topics
Practice for In-Term One – problems
Practice for In-Term One – solutions
Class 11: September 18th, 2026
More on the
cdf.
Problem Set #7: Problems we will work on in class
Problem Set #7: Solutions
Class 12: September 21st, 2026
Random
vectors.
Class 13: September 23rd, 2026
In-Term One
Class 14: September 25th, 2026
More on random
vectors.
Homework #4 – due on Friday, October 9th, 2026
Class 15: September 28th, 2026
Independence.
Transformations of random variables.
Problem Set #8: Problems we will work on in class
Class 16: September 30th, 2026
More on
transformations of random variables.
Problem Set #8: Solutions
Class 17: October 2nd, 2026
The triangle
distribution. The \(\chi^2-\)distribution.
Zed Statistics video: The \(\chi^2-\) distribution.
Homework #5 – due on Friday, October 16th, 2026
Class 18: October 5th, 2026
The \(F-\)distribution. Moment generating
functions.
Problem Set #9: Problems we will work on in class
Class 19: October 7th, 2026
More on moment
generating functions: Sums of independent random variables.
Problem Set #9: Solutions
Class 20: October 9th, 2026
More on the normal
distribution.
Problem Set #10: Problems we will work on in class
Problem Set #10: Solutions
De Moivre-Laplace.
Problem Set #11: Problems we will work on in class
Mathematica demonstration: The Normal Approximation to the Binomial Distribution
Problem Set #11: Solutions
Homework #6 – for practice; not to be handed in
Homework #6 – solutions
Class 21: October 12th, 2026
The Central Limit
Theorem.
Problem Set #12: Problems we will work on in class
Problem Set #12: Solutions
Class 22: October 14th, 2026
More on the \(\chi^2-\)distribution. The \(\Gamma-\)distribution. The statistical
set-up.
Mathematica demonstration: The Chi-Squared Distribution
Mathematica demonstration: Tail Areas under the Chi-Squared Distribution
Homework #7 – for practice; not to be handed in
Homework #7 – solutions
In-Term Two: Topics
Practice for In-Term Two – problems
Practice for In-Term Two – solutions
In-Term Two From Spring 2026 – solutions
Class 23: October 16th, 2026
More on the
statistical set-up. Order statistics.
Problem Set #13: Problems we will work on in class
Class 24: October 19th, 2026
More on order
statistics. Sampling distributions. Estimators. Bias.
Problem Set #13: Solutions
Problem Set #14: Problems we will work on in class
Problem Set #14: Solutions
Class 25: October 21st, 2026
In-Term Two
Class 26: October 23rd, 2026
More on bias. Mean
squared error.
Problem Set #15: Problems we will work on in class
Homework #8 – due on Friday, October 30th, 2026
Class 27: October 26th, 2026
More on
MSE.
Homework #9 – due on Friday, November 6th, 2026
Class 28: October 28th, 2026
MSE wrap-up.
Confidence intervals.
Problem Set #15: solutions
Class 29: October 30th, 2026
More on confidence
intervals.
Problem Set #16: Problems we will work on in class
Class 30: November 2nd, 2026