(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)
• 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