Statistics

Course Code:
11STAT
Academic Degree:
bachelor
Study Programme:
Technology in Transportation and Telecommunications (B 3710)
semesterlanguagestudy field / specialization
2czechcommon part of studies
2czech, englishPIL Professional Pilot - 3708R030
2czechTUL Technology of Aviation Maintenance - 3708R033
Form of Study:
full-time and part-time
Credits:
4
Number of Hours:
2 + 2 hours per week - in full-time study
12 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
credit, exam
Course Tutor:
 
roh  Lectures:
doc. Ing. Ivan Nagy, CSc.
Ing. Pavla Pecherková, Ph.D.
Mgr. Pavel Provinský
doc. Ing. Evženie Uglickich, CSc.
roh  Training Course:
Ing. Šárka Jozová
doc. Ing. Ivan Nagy, CSc.
Ing. Pavla Pecherková, Ph.D.
Mgr. Pavel Provinský
doc. Ing. Evženie Uglickich, CSc.
Mgr. Šárka Voráčová, Ph.D.
roh  Part-time Study:
Ing. Pavla Pecherková, Ph.D.
Supervising Department:
Department of Applied Mathematics (16111)
Keywords:
Probability, random variable, density function, random vector, function of random variable. Random sampling, point and interval estimates, testing of parametric and nonparametric hypotheses, linear and nonlinear regression, ANOVA.
Abstract:
Definition of probability, random variable and its description, known distributions, random vector, function of random variable. Methods of point estimation. Testing of statistical hypothesis. Regression and correlation, linear regression, correlation coefficient, coefficient of determination, the general linear model, statistical inference in linear regression, analysis of variance, multiple regression, the use of matrices in regression.
Objectives:
To improve student's knowledge of probability and to teach and exercise students the basis algorithms for static data analysis.