Non-Thesıs Master Program ın Fınancıal Economıcs

Statistics and Econometrics(EC 509)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
EC 509 Statistics and Econometrics 1 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction Turkish
Course Type Compulsory
Course Level Masters Degree
Course Instructor(s) Meral TOSUN mtosun@gsu.edu.tr (Email)
Assistant
Objective
Content Comput and interpret:

scatter plots and histograms.

simple linear regression between two variables.

Conditional probability, Bayes theorem

Discrete and Continuous distributions
Course Learning Outcomes
Teaching and Learning Methods
References • R.S.Witte and J.S.Witte, Statistics, 11th ed. Wiley, 1997.

• S. Ross, A first course in probability, 8th Edition, Pearson.

• W. Feller, An Introduction to Probability Theory and Its Applications .

• L.Gonick and W.Smith, The Cartoon Guide to Statistics, 1993
Print the course contents
Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Toplam 0 0
In-Term Studies
  Number Contribution
Toplam 0 0
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Total Workload 0
Total Workload / 25 0,00
Credits ECTS 0
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