# STATISTICS

 Title ΣΤΑΤΙΣΤΙΚΗ / STATISTICS Code 012Υ Faculty Agriculture, Forestry and Natural Environment School Agriculture Cycle / Level 1st / Undergraduate, 2nd / Postgraduate Teaching Period Winter/Spring Common No Status Active Course ID 420001046

 Academic Year 2018 – 2019 Class Period Winter Faculty Instructors Class ID 600119542
Course Type 2016-2020
• Background
• General Knowledge
• Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
• Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
• Greek (Instruction, Examination)
• English (Instruction, Examination)
Prerequisites
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
• Make decisions
• Work autonomously
• Work in teams
• Work in an international context
• Work in an interdisciplinary team
• 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
• Multimedia
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Communication with Students
Description
Powerpoint, video, Excel, SPSS, Educational software-tutorial, email.
Course Organization
Lectures
Tutorial
Total
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 Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Φωτιάδης, Ν. (1995). "Εισαγωγή στη Στατιστική για βιολογικές επιστήμες". Θεσσαλονίκη: University Studio Preee (Κωδικός Εύδοξος: 17225).