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Last update: ROZ143 (14.11.2012)
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Last update: ROZ143 (14.11.2012)
Students will know:
Basic principles of probability and probability distributions. Basic statistical techniques including confidence intervals and hypothesis testing, analysis of variance or analysis of contingence tables. Linear regression modelling. |
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Last update: ROZ143 (14.11.2012)
Z:Rumsey D., Statistics for Dummies; For Dummies, 2003. ISBN 0764554239 Z:Rumsey D., Intermediate Statistics for Dummies, 2007. ISBN 0470045205 D:Andrew J. Vickers, What is a p-value anyway?, 2009. ISBN 0321629302 |
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Last update: ROZ143 (15.02.2013)
Online course materials at http://ich.vscht.cz/~svozil/teaching.html "Statistics One" course from Princeton on Coursera, Prof. Andrew Conway - https://www.coursera.org/course/stats1 "Introduction to Statistics" from Stanford on Udacity, Prof. Sebastian Thrun - http://www.udacity.com/overview/Course/st101/CourseRev/1 "Computing for Data Analysis" (using and programming in R) by Roger D. Peng on Coursera - https://www.coursera.org/course/compdata
Free textbooks: CK12 Advanced Probability and Statistics B. Meery, D. DeLancey, E. Lawsky, L. Ottman, R. Almukkahal http://www.ck12.org/book/Probability-and-Statistics---Advanced-%2528Second-Edition%2529/r1/ Collaborative Statistics B. Illowsky, S. Dean http://cnx.org/content/col10522/latest/ OpenIntro Statistics D. M. Diez, Ch. D. Barr, M. Cetinkaya-Rundel http://www.openintro.org/stat/textbook.php |
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Last update: ROZ143 (14.11.2012)
V polovině semestru se píše zápočtová písemná práce. Na konci semestru studenti skládají písemnou zkoušku. |
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Last update: ROZ143 (14.11.2012)
1. Introduction to probability, Bayes theorem 2. Probability distributions, population and sample, mean and standard deviation 3. Gaussian distribution, central limit theorem, sampling distribution of the sample mean 4. Confidence intervals 5. Hypothesis testing, null and alternative hypothese, errors of the I and II order 6. Correlation and covariance, simple linear regression 7. Multiple linear regression, non-linear regression 8. Analysis of variance 9. Categorical data analysis, χ2 test, contingence tables 10. Nonparametric methods 11. Classification methods, linear discrimination analysis 12. Principal component analysis 13. Cluster analysis 14. Summary |
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Last update: ROZ143 (14.11.2012)
Mathematics |
Teaching methods | ||||
Activity | Credits | Hours | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 1 | 28 | ||
Práce na individuálním projektu | 1 | 28 | ||
Příprava na zkoušku a její absolvování | 1 | 28 | ||
3 / 5 | 84 / 140 |
Coursework assessment | |
Form | Significance |
Defense of an individual project | 30 |
Examination test | 70 |