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(Compulsory course/Teaching hours per week: 5/ Laboratory hours per week: -
Assessment: final exam at the end of each term or September/ Credits: 5)


Vangelis Karalis (Assistant Professor)

Course site (e-class):


    • Introduction: Sample, sample size, bias
    • Descriptive statistics
    • Probability: Bayes theorem, probability density functions (discrete, continuous)
    • Confidence intervals
    • Hypothesis testing
    • Analysis of variance
    • Parametric – Non parametric methods – Normal distribution testing
    • Regression – Correlation: Linear and Nonlinear models
Contingency tables, Chi-squared analysis, Survival analysis