Course Information
TitleΣΤΑΤΙΣΤΙΚΗ / Statistics
Code0503
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID40000521

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

Registered students: 569
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course537

Class Information
Academic Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours6
Class ID
600147720
SectionInstructors
1. ΤΜΗΜΑ ΑGeorgios Afendras, Charalampos Bratsas, Theodora Vlachou
2. ΤΜΗΜΑ ΒGeorgios Afendras, Charalampos Bratsas, Theodora Vlachou
Type of the Course
  • General Knowledge
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
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)
The course is part of the module of courses that aim to offer dexterities for teaching mathematics in Secondary Education. 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.
Keywords
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures913.0
Laboratory Work130.4
Reading Assigment1033.4
Exams30.1
Total2107
Student Assessment
Description
80% written exams and 20% lab reports
Student Assessment methods
  • Written Assignment (Summative)
  • Performance / Staging (Summative)
  • Labortatory Assignment (Summative)
  • written exams (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [22768680]: Στατιστική, Κολυβά - Μαχαίρα Φωτεινή, Μπόρα - Σέντα Ευθυμία Βιβλίο [8876]: ΣΤΑΤΙΣΤΙΚΗ. ΠΕΡΙΛΗΠΤΙΚΗ ΘΕΩΡΙΑ - ΑΣΚΗΣΕΙΣ, Νίκος Φαρμάκης
Last Update
15-03-2020