APPLIED STATISTICS
| Title | ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ / APPLIED STATISTICS |
| Code | Ν105Υ |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Common | Yes |
| Status | Active |
| Course ID | 420001825 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 18
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the other | 7 | 4 | 5 |
| AGROTIKĪS OIKONOMIAS | Compulsory Course belonging to the selected specialization (Compulsory Specialization Course) | 7 | 4 | 5 |
| Academic Year | 2022 – 2023 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600210339
|
Class Schedule
| Building | Agriculture & Forestry |
| Floor | Floor 2 |
| Hall | ΑΙΘΟΥΣΑ "ΚΩΝΣΤΑΝΤΙΝΟΣ ΟΥΣΤΑΜΠΑΣΙΔΗΣ" (279) |
| Calendar | Thursdsay 11:00 to 14:00 |
Course Type 2016-2020
- Background
- General Knowledge
- Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600210339
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Learning Outcomes
Upon completion of this course, students will be able to:
1. Learning the basic structures of Random variables and Theoretical probability distributions
2. Learning the basic structures of scales for measuring variables, Frequency tables, Diagrams, Measures of location and dispersion
3. Learning the basic structures of Covariance and Correlation, Confidence intervals, Hypothesis testing, Goodness of fit test
4. Learning of the basic structures of Simple and multiple regression analysis
5. Learning the basic structures of Time series and forecasting techniques
6. Learning the basic structures of Ratios and Indices.
7. Learning the basic structures of Sampling techniques and Non-parametric methods.
Course Content (Syllabus)
- Introduction to Statistics (Random variables and theoretical probability distributions. Scales for measuring variables. Frequency tables and diagrams. Measures of location and dispersion. Regression and correlation. Estimation. Confidence intervals and hypothesis testing.)
- Goodness of fit and contingency tables.
- Simple and multiple regression.
- Time series and forecasting techniques.
- Ratios and Indices.
- Sampling techniques.
- Non-parametric methods.
- Application of Statistical Methods with real data.
- Statistical Analysis of Time series of the Hellenic Statistical Authority
Keywords
Random variables, Theoretical probability distributions, Scales for measuring variables, Frequency tables, Diagrams, Measures of location and dispersion, Covariance and Correlation, Estimation, Confidence intervals, Hypothesis testing, Goodness of fit test, Contingency tables, Simple and multiple regression analysis, Time series analysis, Ratios and Indices, Sampling techniques, Non-parametric methods.
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Teaching and Lab Software: Powerpoint and SPSS
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | ✓ | |||
| Reading Assigment | 32 | ✓ | |||
| Tutorial | 26 | ✓ | ✓ | ✓ | |
| Field trips and participation in conferences / seminars / activities | 6 | ✓ | |||
| Written assigments | 47 | ||||
| Exams | 3 | ✓ | |||
| Total | 140 |
Student Assessment
Description
60% written exams
40% individual project assignment
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Εφαρμοσμένη στατιστική, Μάνος Βασίλης Δ.(Βιβλίο [11026] )
Last Update
18-01-2021
