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 & 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:
- 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
Mon Tue Wed Thu Fri - Time-table for summer semester 2023/2024:
- Time-table is not available yet
- The course is a part of the following study plans: