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1. Pavlík, J. a kol.: Aplikovaná statistika, skripta, VŠCHT, Praha 2005 2. Pavlík, J. a kol.: Sbírka příkladů z pravděpodobnosti a matematické statistiky, skripta, VŠCHT, Praha 1999 3. J.E.Freund, R.E.Walpole: Mathematical Statistics. Prentice-Hall, Inc., 1986 Last update: SMIDOVAL (07.02.2006)
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1. Descriptive statistics, describing small data files, basic charakteristics. 2. Probability of random events, independence of random events. 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. One-sample tests about mean and variance. 9. Two-sample tests about means and variances. 10. Independence testing. 11. Goodness-of-fit testing. 12. Contingency tables. 13. Fundamentals of regression analysis. 14. Summary, alternatively more specific statistical methods. Last update: SMIDOVAL (07.02.2006)
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