



Last update: TAJ413 (17.12.2013)



Last update: TAJ413 (17.12.2013)
Students are supposed to know: Soft Competence: 1. To master fundamental statistical and probability concepts 2. Knowledge and acceptance of elementary statistical methods Specific Competence: 3. To solve elementary statistical tasks with selfreliance 


Last update: Kříž Pavel Mgr. Ing. Ph.D. (11.10.2019)
R: S.M. Ross: Introduction to Probability and Statistics for Engineers and Scientists (2014, Elsevier) R: J.I. Barragués: Probability and Statistics – A didactic Introduction (2014, Taylor & Francis) R: B. Bowerman, R.T. O'Counel: Applied Statistics (1997, IRWIN Inc Company) 


Last update: Pavlík Jiří RNDr. CSc. (16.07.2013)
http://www.vscht.cz/mat/AS/TABLESANGL.pdf 


Last update: Pavlíková Pavla RNDr. Ph.D. (13.04.2016)
1. Probability of random events, independence of random events. 2. Conditional probability, law of total probability, Bayes's theorem. 3. Random variable, distribution function, probability function, density. 4. Mean, variance, quantiles, median, critical values, independence and correlation of random variables. 5. Fundamental types of discrete and continuous distributions. 6. Random sample, sample statistics. 7. Point estimates, confidence intervals. 8. Testing of statistical hypotheses, type I and II errors. Onesample tests about mean and variance. 9. Twosample tests about means and variances. 10. Independence testing. 11. Goodnessoffit testing. 12. Contingency tables. 13. Fundamentals of regression analysis. 14. Summary, alternatively more specific statistical methods.



Last update: Pavlík Jiří RNDr. CSc. (16.07.2013)
Mathematics I 