Business statistics

The purpose of the lectures is to present selected statistical concepts and tests used in the modern business. Statistics has become an important tool for modern companies that use data to make optimal decisions related to investment, process optimization, marketing management, human resources etc. Both primary and secondary data can be used in business decision-making process. This lecture covers the following topics: 1. Statistics in business, 2. Testing hypotheses, 3. Descriptive statistics, 4. Covariance and correlation, 5. Inferential statistics, 6. Regression models, 7. Advanced statistical models.

- M. A. Akinkunmi, Business Statistics with Solutions in R, Berlin-Boston: de Gruyter 2019.

- K. Black, Business Statistics: Contemporary Decision Making, John Wiley and Sons 2019.

- S.C Gupta, I. Gupta, Business Statistics, 2013, Himalaya Publishing House.

- A. Cwynar, B. Świecka, K. Filipek, R. Porzak (2022). Consumers' knowledge of cashless payments: Development, validation, and usability of a measurement scale. Journal of Consumer Affairs, 56(2), 640-665.

- A. Cwynar, W. Cwynar, M. Kowerski, K. Filipek, P. Szuba (2020). Debt literacy and debt advice-seeking behaviour among Facebook users: the role of social networks. Baltic Journal of Economics, 20(1), 1-33.

- K_W06: in advanced degrees the mathematical, statistical and econometric methods necessary for the analysis of economic and social phenomena on a micro- and macroeconomic scale

- K_U03: use basic theoretical knowledge to formulate, analyse and solve complex and unusual economic problems, including economic forecasts, through the proper selection of sources, a critical assessment of the information obtained, the analysis and synthesis

- K_K02: address the dilemmas of practising by using appropriate advanced data analysis tools and, in the event of difficulties, is ready to consult experts