Engineering statistics

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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:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: