Probability and Statistics II - NUMP023
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Random vectors. Law of large numbers, central limit theorem.
Descriptive statistics, correlation. Point and interval parameter estimates.
Hypothesis testing in a random sample from normal distribution.
Linear model. Contingecy tables.
Last update: T_KPMS (13.05.2010)
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To explain fundamentals of probability theory and mathematical statistics. Last update: T_KPMS (22.05.2008)
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Zvára, K., Štěpán, J.: Pravděpodobnost a matematická statistika. Matfyzpress, Praha 2002.
Anděl, J.: Základy matematické statistiky. Matfyzpress, Praha 2005.
Last update: T_KPMS (22.05.2008)
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Lecture+exercises. Last update: G_M (28.05.2008)
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Random vectors.
Law of large numbers, central limit theorem.
Descriptive statistics, correlation.
Point and interval parameter estimates.
Hypothesis testing in a random sample from a normal distribution.
Linear model.
Contingency tables. Last update: T_KPMS (19.05.2010)
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