APPLIED STATISTICS

Course Information
TitleΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ / APPLIED STATISTICS
CodeΝ105Υ
FacultyAgriculture, Forestry and Natural Environment
SchoolAgriculture
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonYes
StatusActive
Course ID420001825

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

Programme of Study: UPS School of Agriculture (2011-today)

Registered students: 54
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the other745
AGROTIKĪS OIKONOMIASCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)745

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600119957
Type of the Course
  • Background
  • General Knowledge
  • Skills Development
Course Category
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures26
Reading Assigment32
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
21-02-2019