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ADVANCED STATISTICS I- DESCRIPTIVE METHODS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS202 ADVANCED STATISTICS I- DESCRIPTIVE METHODS 4 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Introduction Lecture & Discussion
2 Literature Review Description of data - visual Lecture & Problem Solving
3 Literature Review Description of data with time series Lecture & Problem Solving
4 Literature Review Description of data - numerical Lecture & Problem Solving
5 Literature Review Variability measurements Lecture & Problem Solving
6 Literature Review Probability Lecture & Problem Solving
7 Literatür Taraması Bayes Theorem Lecture & Problem Solving
8 - MID-TERM EXAM -
9 Literature Review Discrete random variables and probability distribution Lecture & Problem Solving
10 Literature Review Binomial distribution Lecture & Problem Solving
11 Literature Review Continuous random variables and probability distribution Lecture & Problem Solving
12 Literature Review Normal distribution Lecture & Problem Solving
13 Literature Review Sampling and Sampling Distributions Lecture & Problem Solving
14 Literature Review Estimate, Population Lecture & Problem Solving
15 Literature Review Single Population Lecture & Problem Solving
16 - FINAL EXAM -
17 - FINAL EXAM -