1.-2. Complex statistical data analysis (verification of normality, homogenity, data iindependence)
3. Methods of random sampling.
4. Statistical process control (SPC) as a hypothesis testing, risk of false signal, risk of missing signal,
ARL, operating characteristics curve of control chart.
5. SPC phases.
6. Preconditions for the correct application of Shewhart control charts. Nontraditional SPC methods (survey).
7. Short Run control charts. Control charts for nonnormally distributed data.
8. Multivariate SPC.
9. SPC for autocorrelated data.
10. Statistical basic of acceptance sampling. Efficiency and effectivity of sampling plans.
11. Computation of producer and consumer risks. Construction of OC curve of sampling plans.
Computation of sampling plan parameters.
12. Variable and attribute acceptance sampling plans.
13. Systems of sampling plans.
14. Prezentation of seminary works.
3. Methods of random sampling.
4. Statistical process control (SPC) as a hypothesis testing, risk of false signal, risk of missing signal,
ARL, operating characteristics curve of control chart.
5. SPC phases.
6. Preconditions for the correct application of Shewhart control charts. Nontraditional SPC methods (survey).
7. Short Run control charts. Control charts for nonnormally distributed data.
8. Multivariate SPC.
9. SPC for autocorrelated data.
10. Statistical basic of acceptance sampling. Efficiency and effectivity of sampling plans.
11. Computation of producer and consumer risks. Construction of OC curve of sampling plans.
Computation of sampling plan parameters.
12. Variable and attribute acceptance sampling plans.
13. Systems of sampling plans.
14. Prezentation of seminary works.