# Statistics

 Title ΣΤΑΤΙΣΤΙΚΗ / Statistics Code 0503 Faculty Sciences School Mathematics Cycle / Level 1st / Undergraduate Teaching Period Winter Common Yes Status Active Course ID 40000521

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

Registered students: 1
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course537

 Academic Year 2016 – 2017 Class Period Winter Faculty Instructors Instructors from Other Categories Charalampos Bratsas Class ID 600038226
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)
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)
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
Lectures521.7
Laboratory Work130.4
Total652.2
Student Assessment
Description
80% written exams and 20% computer exams
Student Assessment methods
• Written 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
19-09-2013