Agricultural
University of Athens
Department of Regional
& Economic Development

Statistics I

Course Content

1st - 2nd Lecture: Introduction
- Statistical approach to problems
- Principles of enumeration
- The concept and basic properties of probability
o Basic concepts
o Operations between contingencies
o Definition of probability
3rd - 5th Lecture: Bounded Probability and Contingency Independence
- The bound probability
- The multiplicative formula
- The total probability theorem
- The Bayes theorem
- Independence of contingencies
- Examples-Applications
6th - 7th Lecture: Random Variables
- The concept and meaning of the random variable
- Distribution function of a random variable
- Discrete random variables
- Continuous random variables
- Independence of random variables
- Examples-applications
8th - 9th Lecture: Discrete Distributions
- Basic discrete distributions
- Bernoulli distribution and binomial distribution
- Polynomial distribution
- Distribution and Poisson process
10th - 11th Lecture : Continuous distributions / Central Limit Theorem
- Normal distribution
- The standard normal distribution
- Calculation of probabilities
- The Central Limit Theorem
- Examples-Applications
12th - 13th Lecture: Distributions χ2, t and F
- Distribution χ2
- Distribution t (Student)
- Distribution F
- Examples-applications

Learning results

Upon successful completion of the course, students:

understand basic statistical concepts

understand basic concepts of statistics and how to apply statistical tests to real problems

They can use statistics in realistic situations to apply statistical tests in real situations.

have the necessary training and critical faculties to identify the appropriate statistical methods according to the nature of the research problem

acquire scientific critical thinking, use the knowledge and apply the methodological tools presented during the course to solve future problems

search, analyse and synthesise data and information, using the necessary technologies

Decision-making

Autonomous work

Group work

Exercise of criticism and self-criticism

Promotion of free, creative and deductive thinking

Bibliography

Basic bibliography
• Papadopoulos, G. K. (2015). Introduction to Probability and Statistics. Gutenberg Publications.
• Walpole Ronald E., Myers Raymond H., Myers Sharon L., Ye Keying (2019). Statistics and Probability, Tsakanikas Angelos (editor), 9th Edition.
Supplementary Bibliography
• Kounias, S., Kalyva-Mahaira, F., Bayatis, K., & Bora-Senda, E. (2000). Introduction to Statistics. Publications: Christodoulidis, Thessaloniki.
• Keller G. (2010), Statistics for finance and business administration, Epikentro Publications SA, Edition: 1st ed.

Educational Staff

Anna Tzavali

annatzavali@aua.gr
Dr. Anna Tzavali holds a Bachelor's Degree (BSc) in Business Administration from […]

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Εντάχθηκε στο Γεωπονικό Πανεπιστήμιο Αθηνών (Γ.Π.Α.), Νόμος 4589 – ΦΕΚ 13/Α/29.01.2019. Αρχικά ανήκε στη Σχολή Διοίκησης και Οικονομίας, του πρώην Τ.Ε.Ι. Στερεάς Ελλάδας. Βρίσκεται στην Άμφισσα.
Η διεύθυνση του Τμήματος είναι: Νέο κτήριο, Νέα Πόλη, Άμφισσα, Τ.Κ. 33100
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