Statistics I
Learning Outcomes
By the end of this course the student are expected to:
- Understand and apply descriptive statistics. Students learn how to use tables and graphs in order to describe practical situations
- Have basic knowledge of elementary probability theory and of random variables.
- Understand theory of basic probability distributions and apply it in practical examples.
Course Contents
Population, sample, sampling methods, variables. Statistical data, tables, figures. Frequencies. Measures of central tendency. Measures of dispersion. Moments, measures of asymmetry and kurtosis. Introduction to probability theory. Density and distribution functions. Distributions for discrete random variables (Binomial, Hyper geometric, Poisson, Geometric). Distributions for continuous random variables. Normal distribution. Parameters of bivariate distributions. Covariance, correlation coefficient.
Teaching Activities
Lectures (4 hours per week) and Tutorials (1 hour per week x 13 weeks)
Teaching Organization
|
Activity |
Work load |
| Lectures (4 hours per week x 13 weeks) |
52 hours (4×13) |
| Tutorials (1 hour per week x 13 weeks) – solving of representative problems |
13 hours (1×13) |
| Hours for private study |
135 hours |
| Total number of hours for the Course (25 hours of work-load per ECTS credit) |
200 hours (total student work-load) |
Assessment
The overall course grade is the sum of
(a) The final exam grade
(b) 20 percent of the mid-term examination grade. This examination is elective.
Use of ICT
Use of e-class.
Teaching Hours: 5
ECTS Credits: 8
Teaching Credits: 5
Weight: 2
Type:
Language: Ελληνική
Teaching Method: Πρόσωπο με πρόσωπο
General Competences: Προσαρμογή σε νέες καταστάσεις, Αυτόνομη εργασία, Εργασία σε διεπιστημονικό περιβάλλον, Προαγωγή της ελεύθερης, δημιουργικής και επαγωγικής σκέψης
Γνωστικό Αντικείμενο: Statistics, Mathematics, Econometrics
Οργανική Μονάδα / Εργαστήριο:
E-mail: athanase@upatras.gr
Τηλέφωνο: +30 2610 996266
Ώρες γραφείου: Wed 11.00 - 12.00 Thu 13.00 - 15.00
eclass URL: e-class
- Keller, G. 2010. Statistics for economics and business administration. In Greek. Epikentro publications, Thessaloniki.
- Daras I. T. and Sypsas P. 2010. Probability and Statistics- theory and applications. In Greek. Ziti publications , Athens.
- Papadimitriou, J. 2005. Descriptive Statistics. In Greek. Typothito publications, Athens.
- Aczel, D. A. & Sounderpandian, J. 2016. Statistical thinking in the business world. In Greek. P. C. Paschalidis Medical publications , Athens.
- Kenkel J. L. 1989. Introductory Statistics for Management and Economics. Pws Pub Co Publications, ISBN: 9780534916930
- Jarrell S. B. 1993. Basic Statistics. McGraw- Hill Education, ISBN: 9780697215994
