Probability and statistical methods 2600-DSMz2MSP
1. Introduction to probability, calculating probability of events.
2. Definitions of random variable, basic terms (Mode, Mean, Median, Variance etc.), fair game theory.
3. Discrete random variable distributions: binomial distribution, Poisson distribution, geometric distribution, hypergeometric distribution),.
4. Continous random variable
5. Normal distribution, t-distribution, chi square distribution.
6 Central Limit Theorem (CLT)
Asynchronous internet course:
Assignments and additional information.
Type of course
Mode
Course coordinators
Learning outcomes
By the end of this course, students will be able to:
Content:
Enumerate basic random variable distributions.
Select statistical method according to the situation.
Skills:
Calculate probability of events.
Reads critical values for continuous variables distributions.
Designs and conducts simple statistical research.
Uses spreadsheet formulas.
Social skills:
Recognize data manipulation in public life.
Names profits of use of statistical analysis in business enterprises.
Assessment criteria
Active participation during classes.
Active participation during internet course.
Getting more than 60% of point from Colloquium and getting in total more than 60 points. Test on-line
Additional 10 pts granted for internet course, homework and active participation during classes.
Bibliography
A. Aczel; Statystyka w zarządzaniu, Wydawnictwo Naukowe PWN, Warszawa, 2017
B. Pułaska-Turyna; Statystyka dla ekonomistów, Difin, Warszawa, 2011
S. Ostasiewicz, Z. Rusnak, U. Siedlecka; Statystyka – elementy teorii i zadania, Wyd. AE im, O. Langego, Wrocław 1997
J. Jakubowski, R. Sztencel Rachunek prawdopodobieństwa dla prawie każdego, SCRIPT, Warszawa, 2006
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: