E10. Basic Statistics

Instructor: Vasilis Vasdekis

Elective, Teaching Period B, ECTS: 6


Descriptive statistics, location and variance indices, graphs. Definition of probability, probability distributions, binomial distribution, normal distribution. Principles of inference, hypothesis testing, confidence intervals, testing equality of means. Introduction to categorical data analysis. Correlation and linear regression.



Target Learning Outcomes

After successfully completing the course, students will be able to:

  • have a basic knowledge in probability and statistics,
  • use basic statistical principles for decision making,
  • apply statistical techniques through a programming language (R).

Teaching Method

One three-hour lecture per week, study exercises as homework (all to be submitted).

Assessment Method

The final grade is the weighted average of the final examination grade (60%) and the grade of the study and programming exercises to be submitted (40%).