



The Elementary Course of Statistics is aimed at bachelor degrees students. Trainees will be able to solve elementary statistical methods and its connection with some probability concepts in necessary range providing to take up them in advanced statistical parts of other subjects.
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: TAJ413 (17.12.2013)



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: Kříž Pavel (11.10.2019)



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: Pavlíková Pavla (13.04.2016)



http://www.vscht.cz/mat/AS/TABLESANGL.pdf Last update: PAVLIKJ (16.07.2013)



Mathematics I Last update: PAVLIKJ (16.07.2013)
