STATISTICS
| Title | ΣΤΑΤΙΣΤΙΚΗ / STATISTICS |
| Code | Ν006Υ |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate, 3rd / Doctorate |
| Teaching Period | Spring |
| Common | Yes |
| Status | Active |
| Course ID | 420001750 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 287
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 2 | 1 | 5 |
| Academic Year | 2022 – 2023 |
| Class Period | Spring |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 4 |
| Class ID | 600210929
|
Class Schedule
| Building | Agriculture & Forestry |
| Floor | Floor 1 |
| Hall | ΑΜΦΙΘΕΑΤΡΟ Β (34) |
| Calendar | Wednesday 11:00 to 12:00 |
| Building | Agriculture & Forestry |
| Floor | Floor 1 |
| Hall | ΑΜΦΙΘΕΑΤΡΟ Β (34) |
| Calendar | Friday 11:00 to 14:00 |
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/1/600210929
- eLearning:
- OpenCourses (eClass):
- Other: http://users.auth.gr/gmenexes
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)
Scientific research and Statistics. Variability - Variable. Population and sample. Frequency distributions. Measures of central tendency and dispersion. Introduction to Probability Theory -Probability distributions. Confidence intervals. Statistical hypothesis testing. Analysis of Variance (ANOVA). Covariation and correlation. Examples and Applications in Agricultural science.
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.
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
22-06-2023
