Course Information
TitleΣΤΑΤΙΣΤΙΚΗ / Statistics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
Course ID40000521

Programme of Study: UPS of School of Mathematics (2014-today)

Registered students: 7
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course537

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
  • Charalampos Bratsas
Class ID
Course Type 2016-2020
  • General Knowledge
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
General Prerequisites
probability theory
Learning Outcomes
The aim is to understeand the basic statistical methods in order to use theme in real problems
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
  • Generate new research ideas
  • Design and manage projects
Course Content (Syllabus)
Elements of probability theory - Distributions of some useful statistics - Descriptive statistics - Methods of point estimation - Confidence intervals and tests of hypotheses for the mean, the variance and the proportion for one and two samples - Test of Goodness-of-Fit - Contingency tables - Tests of homogeneity - The method of least squares-Regression - Tests of hypotheses and Confidence intervals in simple linear Regression - Simple, multiple and partial correlation coefficient - Analysis of variance - The one-way layout - The two-way layout with and without interaction - Non-parametric methods - Kolmogorov-Smirnov tests, runs tests, rank tests and sign tests for one and two samples - Tests concerning k>2 independent and dependent samples - The Spearman correlation coefficient - Applications using statistical packages.
hypotheses, Tests, Contingency tables, Regression, ANOVA, Non-parametric
Educational Material Types
  • Notes
  • Multimedia
  • 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
Course Organization
Laboratory Work130.4
Student Assessment
80% written exams and 20% computer exams
Student Assessment methods
  • Written Assignment (Summative)
  • written exams (Summative)
Course Bibliography (Eudoxus)
Βιβλίο [22768680]: Στατιστική, Κολυβά - Μαχαίρα Φωτεινή, Μπόρα - Σέντα Ευθυμία Βιβλίο [8876]: ΣΤΑΤΙΣΤΙΚΗ. ΠΕΡΙΛΗΠΤΙΚΗ ΘΕΩΡΙΑ - ΑΣΚΗΣΕΙΣ, Νίκος Φαρμάκης
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