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
- Apply basic statistical techniques using statistical software and interpret the results
Course Contents
Theory:
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.
Teaching Activities
Lectures (4 hours per week) and Tutorials (2 hour per week)
Teaching Organization
|
Activity |
Semester workload |
| Lectures (4 hours per week x 13 weeks) |
52 hours |
| Tutorials (2 hour per week x 13 weeks) – solving of representative problems |
26 hours |
| Hours for private study |
122 |
| 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) final exam grade (80%), plus
b) 20 percent of the mid-term exam grade
Use of ICT
Use of e-class to support teaching, laboratory work and communication with students
Teaching Hours: 6
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
– Suggested bibliography:
- in Greek:
Keller, G. 2010. Statistics for economics and business administration. Epikentro publications, Thessaloniki.
Aczel, D. A. & Sounderpandian, J. 2016. Statistical thinking in the business world. P. C. Paschalidis Medical publications , Athens.
Chalkos, Ε. G. 2000. Statistics- theory, applications and use of programs on computers. Στατιστική-θεωρία εφαρμογές και χρήση προγραμμάτων σε Η/Υ. Typothito publications, Αthens.
