# STATISTICS II

 Title ΣΤΑΤΙΣΤΙΚΗ ΙΙ / STATISTICS II Code 03ΥΒ03 Faculty Social and Economic Sciences School Economics Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Andreas Mattas Common No Status Active Course ID 100000920

 Academic Year 2018 – 2019 Class Period Spring Faculty Instructors Instructors from Other Categories Weekly Hours 4 Class ID 600123503
Course Type 2016-2020
• Background
• General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
• Face to face
Language of Instruction
• Greek (Instruction, Examination)
Learning Outcomes
Understanding basic statistical concepts and methods of inferential statistics, focusing on appications in Economics and Business. Development of statistical thinking and data analysis skills. Further familiarization with SPSS' analytical tools.
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
• Advance free, creative and causative thinking
Course Content (Syllabus)
Statistical Inference: Sampling, Estimation, Hypothesis Testing. Goodness of fit tests, tests for bivariate relationships. Simple linear regression. Syllabus: - Sampling methods and sampling distributions for the mean, variance, and proportion. - Point and interval estimation for the mean, variance, and proportion. - One sample tests of hypotheses for the mean, variance, and proportion. - Univariate goodness of fit tests. - Chi-square tests of independence in two-way contingency tables. - Bivariate Pearson product moment and rank correlation coefficients. Hypothesis tests for bivariate correlation. - Simple linear regression.
Keywords
Inference, estimation, hypothesis testing, correlation, regression.
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 Laboratory Teaching
• Use of ICT in Communication with Students
Description
- Powerpoint presentations - Statistical software (SPPS) at the Lab - Course webpage with supplementary teaching material
Course Organization
Lectures52
Laboratory Work52
Written assigments52
Total156
Student Assessment
Description
1. Written examination at the end of the semester: (a) multiple coice questions (5 grade points) and (b) exercises (5 grade points). 2. Participation to Lab sessions, tutorials, and assignments (up to 2 grade points, conditional on a pass-mark at the final examination).
Student Assessment methods
• Written Exam with Multiple Choice Questions (Summative)
• Written Assignment (Summative)
• Written Exam with Problem Solving (Summative)
• Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
- Ιωαννίδης Δ. «Στατιστικές Μέθοδοι», Εκδόσεις Ζήτη, Θεσσαλονίκη 2005 - Ζαχαροπούλου Χ. «Στατιστική – Μέθοδοι και Εφαρμογές», Τόμος Β΄, Εκδόσεις Σοφία, Θεσσαλονίκη 2010.
Last Update
22-05-2016