Introduction to business statistics 2600-DSFRw2WSB
1. Basic concepts of statistical description: division of statistical communities, statistical features, measurement scales,
2. Forms of presenting statistical material. Principles of building distribution series with class intervals.
3. Graphs in a rectangular coordinate system.
4. Classical and positional measures of central tendency, Pearson's dependence.
5. Measures of differentiation.
6. Standardization of the variable, statistical moments. Measures of skewness and focus.
7. Comprehensive analysis of statistical communities. Working in a spreadsheet
8. Individual and aggregate indexes of dynamics, geometric mean.
9. Basic concepts of the theory of probability, calculating probabilities.
10. The concept of a random variable, definitions of a random variable, basic parameters of random variable distributions, a fair game.
11. Basic distributions of a discrete random variable (binomial, polynomial, rare events, geometric, combinatorial).
12. Continuous random variable, continuous distributions (rectangular, T-student, chi square).
13. Normal distribution. Standardized normal distribution, transformations of normal random variable,
14. Central Limit Theorems.
Online course:
Exercises and additional materials.
Type of course
Mode
Course coordinators
Learning outcomes
K_U02 – The student is able to correctly interpret technological, social, political, legal, economic and ecological processes and phenomena and their impact on the functioning of the organization and the entire economy, using the appropriate statistical methods.
K_U06 – has the ability to self-educate and improve acquired qualification
K_K01 – The student is ready to assess and critically approach situations and phenomena related to the functioning of the organization, sector and the entire economy using statsitcial models.
Assessment criteria
Active participation during classes.
Getting more than 50% of points from 1st colloquium and more than 50% points form 2nd colloquium and getting in total more than 60 points.
Additional 10 pts are 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
J. Wierzbiński, Statystyka opisowa, Wydawnictwo WZ, Warszawa 2006
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: