Statistics II
Learning Outcomes
By the end of this course the student will be able to:
- Have basic knowledge of theoretical probability distributions which constitute an essential methodological tool.
- Understand and be able to apply essential statistical inference. This implies that students should develop critical thinking on decision making.
- Understand and apply basic regression analysis to decision making
Course Contents
Large sample statistical inference. Sampling distributions. Means, difference between two means, proportions, difference between two proportions. Confidence intervals. Statistical testing. Small sample statistical inference. Student’s t probability distribution. Means, difference between two means, paired difference test, proportions, difference between two proportions. Inferences about a population variance. The c2 probability distribution. Comparing two population variances. The F probability distribution. Introduction to simple and multiple regressions. The method of least-squares. Testing the utility of a model. Model building. Elements of time-series analysis. Statistical applications using computers.
Teaching Activities
Lectures (4 hours per week) and Tutorials (1 hour per week)
Teaching Organization
|
Activity |
Semester workload |
| Lectures (4 hours per week x 13 weeks) |
(4 x 13) 52 hours |
| Tutorials (2 hour per week x 13 weeks) – solving of representative problems |
(1 x 13) 13 hours |
| Hours for private study of the student, and preparation for the Laboratory (study of techniques and theory) |
135 |
| Total number of hours for the Course (25 hours of work-load per ECTS credit) |
200 hours (total student work-load) |
Assessment
- Mid-term exam- grade (20%)
- Written examination at the end of the semester – grade (80%).
Minimum passing grade: 5
Use of ICT
e-class
Teaching Hours: 5
ECTS Credits: 8
Teaching Credits: 5
Weight: 2
Type:
Language: Ελληνική
Teaching Method: Πρόσωπο με πρόσωπο
General Competences: Αναζήτηση, ανάλυση και σύνθεση δεδομένων και πληροφοριών, με τη χρήση και των απαραίτητων τεχνολογιών, Προσαρμογή σε νέες καταστάσεις, Λήψη αποφάσεων, Αυτόνομη εργασία, Σχεδιασμός και διαχείριση έργων, 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.
- Aczel, D. A. & Sounderpandian, J. 2016. Statistical thinking in the business world. In Greek. P. C., Paschalidis Medical publications , Athens.
- Chalkos, Ε. G. 2000. Statistics- theory, applications and use of programs on computers. In Greek. Στατιστική-θεωρία εφαρμογές και χρήση προγραμμάτων σε Η/Υ. Typothito publications, Αthens
