Lecture Notes
Lecture notes will be made available on this page. They are all in PDF format, so you may need to download a PDF viewer such as Adobe Reader.
The introductory slides from the induction lecture are available here.
The solutions file for the practice questions at the end of each chapter will be updated after the last workshop each week.
Chapter 1
Linear and quadratic functions.
Prizes:
Chapter 2
Optimising using calculus.
Prizes:
Chapter 3
Data handling.
Chapter 4
Basic probability and probability models for discrete data.
Chapter 5
Continuous probability models.
Prizes:
Chapter 6
Statistical inference for the mean.
Chapter 7
Techniques of regression.