Introductory Statistics for Business
Program: Bachelor of Business and Administration (Specialisations: Business, Finance, Governance)
ECTS: 3
Lecturer: Dr. Magdalena Skolimowska-Kulig
Email: magdalena.skolimowska-kulig@uwr.edu.pl
Type: Optional
Level: Elementary
Lecture
Number of hours: 2h X 6 weeks = 12 hours (1 semester)
Classes
Number of hours: 2h X 4 weeks = 8 hours (1 semester)
Objective:
The course acquaints students with methods of data presentation and data analytic techniques based on statistical inference.
The aim:
To acquaint students with methods of data presentation and description.
Presentation basic notions of probability.
To acquaint students with basic methods of statistical inference.
Acquired knowledge:
Knowledge of descriptive statistics methods.
Knowledge of basic probability.
Knowledge of basic statistical inference methods.
Acquired skills:
Collecting, describing and analyzing data.
Using basic statistical inference methods.
Developed reflection:
Ability of defining the problem and finding adequate methods to solve it.
Assessment:
The final grade consists of: exam ( 40% ), term papers ( 40% ), class activity ( 20% ).
Contents:
Descriptive statistics, methods of displaying data.
Probability models, parameters of probability distribution.
Random sample, statistical model.
Statistical inference for one and two populations.
Analysis of two-way tables. Inference for regression.
Recommended reading:
- Basic statistics for business & economics, Douglas A. Lind, William G. Marchal, Samuel A. Wathen. The McGraw-Hill Companies. McGraw-Hill Higher Education, Boston, 2006.
- Complete business statistics, Aczel, Amir D. Homewood, IL, Boston, 1989.
