Sun.MondayTuesdayWednesdayThursdayFridaySat.
1 - Revision 2 - Staff PD Day 3 - SAC - Analysis Task 1 4
5 6 - 1. Review of Probability, Discrete Random Variables and Discrete Probability Distributions 7 8 - 2. Measures of centre and spread for discrete random variables 9 10 - 2. Measures of centre and spread for discrete random variables 11
12 13 - 3. Binomial Probability Distribution, Graphs of the Binomial Function, Expected Value and Variance of a Binomial Probability Distribution 14 15 - 5. Using Matrices to represent conditional probability, Markov Chains 16 17 18
19 20 - 6. Steady state of a Markov chain, comparing run length for Bernoulli sequences and Markov chains 21 22 - 6. Steady state of a Markov chain, comparing run length for Bernoulli sequences and Markov chains 23 24 - 7. Continous Random Variables incl mean, median and mode 25
26 27 - 8. Measures of spread, properties of mean and variance 28 29 - 9. The Normal Distribution 30 31 - Practice Exam - Paper 2 using Mathematica