Statistics II

Statistics II

Course ID:

ECO_122Ν

Semester: 2nd

Year of Study:

Category: Compulsory

For Erasmus Students: Ναι

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.

Statistics with computers

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

  1. a) final exam grade, consisting examination in Theory (60%) and in Statistics with computer (40%), plus
  2. b) 20 percent of the mid-term exam grade

Use of ICT

Teaching Hours: 6

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

Assistant Professor
Πολυμένης Αθανάσιος - Επίκουρος Καθηγητής

Γνωστικό Αντικείμενο: Statistics, Mathematics, Econometrics

Οργανική Μονάδα / Εργαστήριο:

Τηλέφωνο: +30 2610 996266

Ώρες γραφείου: Wed 11.00 - 12.00 Thu 13.00 - 15.00

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