 CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

# Engineering statistics

Code Completion Credits Range Language
2381148 Z,ZK 5 2P+2C Czech
Garant předmětu:
Barbora Stieberová
Lecturer:
Barbora Stieberová
Tutor:
Barbora Stieberová
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 &amp; Statistics for Engineers &amp;; 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:
Time-table for winter semester 2023/2024:
 06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00 roomKN:B-129Stieberová B.09:00–10:30(lecture parallel1)Karlovo nám.Poč. učebna 12138roomKN:B-129Stieberová B.10:45–12:15(lecture parallel1parallel nr.101)Karlovo nám.Poč. učebna 12138
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2023-11-30
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6287806.html