SubjectsSubjects(version: 957)
Course, academic year 2023/2024
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Statistics - NSTP177
Title: Statistika
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2014
Semester: winter
E-Credits: 6
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Karel Zvára, CSc.
Classification: Mathematics > External Subjects, Probability and Statistics
Incompatibility : {NUMP013 a NUMP023}, {NSTP201 a NSTP202}, NMAI059, NMSA202, NSTP014, NSTP022, NSTP070, NSTP129
Is incompatible with: NMUE012, NMUE032, NSTP017, NSTP070, NSTP129, NSTP014, NSTP022
Annotation -
Descriptive statistics. Introduction to inferential statistics (statistical hypothesis, statistics, significance level, p value,confidence interval). One/two independent samples precedures. Regression. Contingency tables.
Last update: T_KPMS (17.05.2005)
Aim of the course -

To explain fundamentals of statistical inference.

Last update: T_KPMS (22.05.2008)
Literature - Czech

K. Zvára: Základy statistiky v prostředí R (Biomedicínská statistka IV), Karolinum Praha, 2013

K. Zvára: Biostatistika. Karolinum, Praha, 1998.

Last update: Zvára Karel, doc. RNDr., CSc. (28.04.2014)
Teaching methods -

Lecture+exercises.

Last update: G_M (28.05.2008)
Syllabus -

1. Descriptive statistics.

2. Frequencies and probabilities, independence.

3. Random variable and its distribution, characteristics of random variables.

4. Random sample, population, parameter estimation, hypotheses testing.

5. One sample tests.

6. Two sample tests.

7. Regression, correlation.

8. Contingency tables.

Last update: T_KPMS (17.05.2005)
 
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