Probability and statistical methods 2600-DSMdz2MSP
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)
7. Confidence Intervals for mean, variance and standard deviation
8. Hypothesis testing for mean, two means and proportions
9. Chi-squared test
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.
Defines statistical hypothesis.
Concludes outcomes of the statistical tests.
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 each of the Colloquiums and getting in total more than 60 points.
Colloquium 1 – 60 pts
Colloquium 2 – 40 pts
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: