The course

• 1

  Start here

  Paper A 3 h 20 in Word and Paper B 1 h 50 in R and Word, weighted 70:30

  Free: A tour of CS1Free: Working in Word and R
• 2

  Data analysis and correlation

  Topic 1: Data analysis, 10% of the exam

  Free: Exploring data and correlation13 questions
• 3

  Probability distributions and simulation

  Topic 2: Random variables and distributions, 20% of the exam

  Distributions and simulation11 questions
• 4

  Joint distributions and conditional expectation

  Topic 2: Random variables and distributions, 20% of the exam

  Joint distributions and conditional expectation10 questions
• 5

  Generating functions, the CLT and sampling distributions

  Topic 2: Random variables and distributions, 20% of the exam

  Generating functions and sampling distributions9 questions
• 6

  Estimators and their properties

  Topic 3: Statistical inference, 25% of the exam

  Maximum likelihood and estimator properties11 questions
• 7

  Confidence and prediction intervals

  Topic 3: Statistical inference, 25% of the exam

  Confidence intervals12 questions
• 8

  Hypothesis tests

  Topic 3: Statistical inference, 25% of the exam

  Hypothesis tests and p-values10 questions
• 9

  Linear regression

  Topic 4: Regression theory and applications, 30% of the exam

  Fitting and testing a regression line18 questions
• 10

  Generalised linear models

  Topic 4: Regression theory and applications, 30% of the exam

  Generalised linear models17 questions
• 11

  Bayesian inference

  Topic 5: Bayesian statistics, 15% of the exam

  Posteriors and Bayesian estimates12 questions
• 12

  Credibility theory

  Topic 5: Bayesian statistics, 15% of the exam

  Credibility premiums10 questions
• 13

  Mock exams

  Two full mocks, each a Paper A and a Paper B in the exam's timings

  The mocks