The aim of lesson: It is aimed to gain the applicability of statistical distributions, errors, statistical precision value, signal and background calculations, Monte Carlo event productions used in data analysis to elementary particle collisions and decays.
Course Content: Basic concepts, probability functions, statistical tests, parameter estimation, maximum likelihood method, least squares method, statistical errors, confidence level, multivariate fit, multidimensional reliability regions, Monte Carlo calculations, phase space distributions, data analysis.

Week Subject – Content Teaching Method and Technique Used
1 Introduction Lecture, Question and Answer
2 Basic concepts Lecture, Question and Answer
3 Probability functions Lecture, Question and Answer
4 Statistical tests Lecture, Question and Answer
5 Parameter estimation Lecture, Question and Answer
6 Maximum likelihood method, Least squares method Lecture, Question and Answer
7 Maximum likelihood method, Least squares method / Midterm exam Lecture, Question and Answer
8 Statistical errors Lecture, Question and Answer
9 Statistical errors Lecture, Question and Answer
10 Confidence level Lecture, Question and Answer
11 Multivariate fit, multidimensional reliability zones Lecture, Question and Answer
12 Monte Carlo calculations Lecture, Question and Answer
13 Monte Carlo calculations Lecture, Question and Answer
14 Phase space distributions, data analysis. Lecture, Question and Answer
15 Final