Engineering statistics

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Management and Economics

Synopsis:

The course Engineering Statistics is focused on explanation of statistical methods applicable in technical and economic practice. It contains basic and advanced statistical methods - descriptive statistics, simple and multiple regression analysis, continuous and discrete probability distributions, interval estimates, statistical hypothesis testing, analysis of variance, time series analysis, multivariate data analysis methods - cluster and discriminant analysis.

Requirements:

Active participation in excercises, 50% success in continuous tests, processing and submission of given examples

Syllabus of lectures:

1.Statistical population and description statistics

2.Simple and multiple regression and correlation analysis

3.Random variables - unidimensional, bidimensional

4.Basic probability distributions

5.Limit theorems (The law of large numbers, The central limit theorem)

6.Random sampling, sampling distributions and exact distributions

7.Statistical estimate - point and interval

8.Statistical tests - parametric

9.Statistical tests - nonparametric

10.Analysis of variance

11.Multidimensional statistical analysis - cluster analysis, discrimination analysis

12.Analysis of time series

13.Index numbers, revision

Syllabus of tutorials:

1.Statistical population and description statistics, basics of SPSS

2.Simple and multiple regression and correlation analysis

3.Random variables - unidimensional, bidimensional

4.Basic probability distributions

5.Limit theorems (The law of large numbers, The central limit theorem)

6.Test, probability distribution approximation distribution estimate

7.Statistical estimate - point and interval

8.Statistical tests - parametric

9.Statistical tests - nonparametric

10.Analysis of variance

11.Multidimensional statistical analysis - cluster analysis, discrimination analysis

12.Analysis of time series

13.Test, revision

Study Objective:

The goal of this course is to teach students to apply the selected statistical methods.

Study materials:

Walpole, R.E., Myers, H.R., Myers, S.L.,Keing, Y.: Probability & Statistics for Engineers &; Scientists, Eight edition, Pearson Prentice Hall, 2007.

Devore, J. L.:Probability and statistics for engineering and the sciences, 5th ed., Pacific Grove : Duxbury, 2000.

Kottemann, K.: Illuminating Statistical Analysis Using Scenarios and Simulations, Wiley, 2017

Note:

Keywords

descriptive statistics, regression and correlation analysis, probability distributions, limit properties of random variables, statistical estimation and testing of statistical hypotheses, analysis of variance, multivariate data analysis, time series analysis

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: