


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