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Compulsory
Evangelos Marinakis
1. Combinatorial Analysis: Rules of sum and product, permutations, arrangements and combinations. Probability Theory:Sample space and events, axioms and theorems of probability. Independent events, conditional and total probability, Bayes’ theorem.
2. Random Variables: Basic concepts, probability mass and density functions, distribution function, mean, variance, standard deviation, basic discrete and continuousdistributions.
3. Descriptive Statistics: Frequency distributions and histograms, data summary and display.
4. Point estimation, statistical intervals of means, variances and proportions. Tests of hypotheses.