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| Nayland College Mathematics; More than just a school | |||||||||||||||
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Probability investigates the
chance of things happening (events) and what the expected result may be. New material for level 2 is the 'standard deviation' and Normal Distribution. |
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1
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Overview & Long Run Relative Frequency
Achievement Objectives Long run relative frequencies and Experimental relative frequencies Calculating the mean & standard deviation
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| 2
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Theoretical Probabilities
calculating theoretical probabilities of an event P(A), P(A U B) p(A n B) Expected number E(x). Probabilities calculated from a table |
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| 3
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Tree diagrams
Calculating probabilities from tree diagrams by multiplying along branches and adding between branches. Tree diagrams with and without replacement. Conditional probability - an introduction |
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| 4
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Normal Distribution - an introduction
Overview of the normal distribution curve. Calculation of the mean and standard deviators. Interactive website java simulation |
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| 5
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Standard Normal Distribution
What is the standard normal distribution? Solving normal distribution problems |
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| 6
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Normal Distribution Problems
Practice Distribution Problems in context
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| 7
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Inverse Normal Distribution problems
Solving inverse normal distribution problems to calculate the mean or standard deviation
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| 8
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Simulations
planning, designing, and using simulatons to represent probability situations
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| 9
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Simulation Practice
Practising designing simulations
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 Theta pg 109, 110 |
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| Revision | |||
Word doc 07/03 
Theta Text Book (David Barton) 
Web link 
Geogebra java animation 
Excel Spreadsheet (allow macros) 
