STATISTICS
| Title | ΣΤΑΤΙΣΤΙΚΗ / STATISTICS |
| Code | Ν006Υ |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate, 2nd / Postgraduate, 3rd / Doctorate |
| Teaching Period | Spring |
| Common | Yes |
| Status | Active |
| Course ID | 420001750 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 200
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 2 | 1 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600274641
|
Course Type 2021
General Foundation
Course Type 2016-2020
- Background
- General Knowledge
- Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600274641
- eLearning:
- OpenCourses (eClass):
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Prerequisites
Required Courses
- Ν003Υ INFORMATICS
- Ν005Υ MATHEMATICS
General Prerequisites
Students should be familiar with the use of computers.
Learning Outcomes
Upon completion of this course, students will be able to:
1) Recognize the importance of variation and uncertainty in the world and understand how Statistics can improve decisions when faced with uncertainty.
2) Obtain knowledge of and proficiency with a broad range of statistical concepts and tools useful for statistical applications.
3) Develop critical thinking skills for enabling application of Statistics in Biological sciences.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Advance free, creative and causative thinking
Course Content (Syllabus)
About data
Data, variables, distributions, variability, population, sample, representativeness.
Types of variables (nominal, ordinal, interval, ratio, binary with coding 0 or 1).
Descriptive Statistics
For categorical variables (absolute and relative frequencies, cumulative absolute and relative frequencies, variance and standard error of percentages).
For scale variables [min. max, range, mean, median, mode, variance, standard deviation, Coefficient of Variation-CV, standard error of mean, Quartiles (Q1=Q25, Q2=Q50, Q3=Q75), interquartile range, semi-interquartile range].
Presentation
Tables of frequencies or other statistical indices (one-way, two-way, crosstabs).
Graphs (Bar charts, Line Charts, Box-plots, Histograms, Scatter Plots), simple and comparative.
Probability Theory
The concept of Probability
Set theory
Combinations and other tools
Estimation, calculation of probabilities
Laws and theorems
Probability Algebra
Probability Distributions
Random variables (types, expectations, probability distributions)
Theoretical
For discrete random variables (Bernoulli, Binomial, Poisson, Multinomial)
For continues random variables (Normal, Standardized Normal, Uniform, Exponential)
Emphasis on Normal Distribution
Statistical or Empirical
X2 distribution
T distribution
F distribution
Finding Critical values (reading the tables at the end of the book)
Confidence intervals
For the mean of a population
For the proportion or percentage of a population
For the variance of a population
For the difference of two population means (3 cases, 2 for independent samples, 1 for paired samples)
For the difference of two population proportions or percentages (only for independent samples)
For the ratio of two population variances (independent samples)
Hypothesis testing procedures (statistical tests)
For the mean of a population
For the proportion or percentage of a population
For the variance of a population
For the difference of two population means (3 cases, 2 for independent samples, 1 for paired samples)
For the difference of two population proportions or percentages (2 cases, 1 for independent samples, 1 for paired samples)
For the ratio of two population variances (independent samples)
X2 test of independence
X2 test of homogeneity
X2 test of goodness of fit
Assumption for the above tests
Error Type I
Error Type II
Power of a test
Exploring Correlation
For categorical variables (Crosstabs, Cramer’ V, Pearson’s phi)
For scale variables (scatter plots, Pearson, Spearman)
Simple Linear Regression
Assumptions
One – way ANOVA
The ANOVA Table
Multiple comparisons of means
Assumptions
Non-parametric tests
Mann-Whitney test
Wilcoxon test
Kruskal-Wallis test
Keywords
Variability, descriptive statistics, statistical tests
Educational Material Types
- Notes
- Slide presentations
- Video lectures
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Powerpoint, video, Excel, SPSS, Educational software-tutorial, email, e-learning
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 112 | ✓ | ✓ | ||
| Seminars | 12 | ✓ | ✓ | ||
| Tutorial | 12 | ✓ | ✓ | ✓ | |
| Exams | 4 | ✓ | ✓ | ||
| Total | 140 |
Student Assessment
Description
100% written exams.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Extended Answer Questions (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Κολυβά-Μαχαίρα, Φ., Μπόρα-Σέντα, Ε. και Μπράτσας Χ.(2018). Στατιστική. Θεωρία και
Εφαρμογές Παραδείγματα στην R. Εκδόσεις Ζήτη, Θεσσαλονίκη (Κωδικός Εύδοξος: 77120260).
Φωτιάδης, Ν. (1995). "Εισαγωγή στη Στατιστική για βιολογικές επιστήμες". Θεσσαλονίκη: University Studio Preee (Κωδικός Εύδοξος: 17225).
Additional bibliography for study
1) Μενεξές, Γ. (2007). Μια Δομημένη Προσέγγιση στην Πολυμεταβλητή Στατιστική Ανάλυση Βιολογικών, Περιβαλλοντικών, Κοινωνικών και Οικονομικών Δεδομένων. Στο Φυσικοί Πόροι, Περιβάλλον και Ανάπτυξη (σσ. 519-534). Επιμέλεια: Γ. Αραμπατζής και Σ. Πολύζος. Θεσσαλονίκη: Εκδόσεις Τζιόλα.
2) Μενεξές, Γ. & Οικονόμου, Α. (2002). Σφάλματα και Παρανοήσεις στους Στατιστικούς Ελέγχους Υποθέσεων: Υπέρβαση μέσω της Ανάλυσης Δεδομένων. Τετράδια Ανάλυσης Δεδομένων-Data Analysis Bulletin, 2, 52-64.
Last Update
24-05-2025
