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The topics below follow the chapter headings for MEI's books.
AS Level Statistics - S1 Module
1. Exploring Data 2A.Data Presentation 2B. Measures of Centre and Spread 3. Probability 4. Discrete Random Variables 5. Permutations and Combinations 6. Binomial Distribution 7. Hypothesis Testing using the Binomial Distribution A2 Level Statistics - S2 Module 1. The Poisson distribution 2. The Normal Distribution 3A. Sampling and Hypothesis Testing using the Normal Distribution 3B. Contingency Tables and the Chi-Squared Distribution 4. Bivariate Data, Regression and Correlation Other Resources
MSV 28: World-wide Statistics
MSV 24: Quartiles for a Small Data Set
MSV 4: Outlier Tester
MSV 7: Coding Spreadsheet
MSV 1: Histogram Cut-up
MSV 29: Cricketing MMM
MSV 33: Measures of Spread
MSV 9: Do we divide by n or n-1?
MSV 21: Spot the Error
MSV 34: A Small Sample
MSV 27: Random Independence
MSV 32: Biassed Dice Independence
MSV 23: Balls in a Box
MSV 13: The Colin and Phil Problem
MSV 25: The Independent School
MSV 35: The Two Dominoes
MSV 5: DRVs from a Bag
MSV 19: Double or Add?
MSV 37: DRV Venn Diagram
MSV 31: The Four-sided Dice
MSV 3: Most Likely Value
MSV 40: The Binomial Mean and Variance
MSV 11: Binomial Reverse
MSV 12: Significance Levels
MSV 22: Rain
MSV 36: Poisson or not?
MSV 38: Adding Two Poisson Distributions
MSV 30: A Close Approximation
MSV 18: The Coffee Problem
MSV 6: Parameter Gaps
MSV 26: Adding Two Normal Distributions
MSV 8: Sampling
MSV 16: Generating Random Numbers
MSV 21: Spot the Error
MSV 14: Sample Mean Gap-Filler
MSV 15: Test Table
MSV 39: Defining the Chi-squared Distribution
MSV 10: Chi-squared and Percentages
MSV 17: Ten-Point PMCC
MSV 20: Residuals
MSV 2: Markov Chains