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Full Description
This work features a straight forward route through the course with complete and ordered coverage of all units. There are numerous questions for practice and consolidation. It provides thorough preparation and end-of-unit and end of course assessments.
Contents
Part 1 Probabilityof probability; equally likely outcomes; permutations and combinations; conditional probability and independence; Bayes' theorem; statistics in action - diagnostic testing in medicine. Part 2 Random variables: review of discrete random variables; laws of expectation and variance; the binomial distribution; the Poisson distribution; approximating the binomial with the Poisson; review of continuous random variables; the normal distribution; combining normal random variables; approximating the binomial with the normal; statistics in action -modelling data. Part 3 Sampling: populations and samples; simple random sampling; the distribution of sample means; the central limit theorem; a confidence interval for a population mean; a confidence interval for a population proportion; stratified random sampling; cluster sampling; further sampling methods; statistics in action - sampling.