# 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: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the other745
AGROTIKĪS OIKONOMIASCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)745

 Academic Year 2020 – 2021 Class Period Winter Faculty Instructors Thomas Bournaris 30hrs Stefanos Nastis 9hrs Weekly Hours 3 Class ID 600173077

### Class Schedule

 Building Γεωπονίας & Δασολογίας Floor Όροφος 2 Hall ΑΙΘΟΥΣΑ "ΚΩΝΣΤΑΝΤΙΝΟΣ ΟΥΣΤΑΜΠΑΣΙΔΗΣ" (279) Calendar Πέμπτη 11:00 έως 13:00 Building Γεωπονίας & Δασολογίας Floor Όροφος 2 Hall ΑΙΘΟΥΣΑ "ΚΩΝΣΤΑΝΤΙΝΟΣ ΟΥΣΤΑΜΠΑΣΙΔΗΣ" (279) Calendar Τρίτη 11:00 έως 13:00
Course Type 2016-2020
• Background
• General Knowledge
• Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
• Face to face
Digital Course Content
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
Lectures26
Tutorial26
Field trips and participation in conferences / seminars / activities6
Written assigments47
Exams3
Total140
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