The aim:
1. Presentation basic notions of statistical model.
2. To acquaint students with methods of statistical inference.
3. To acquaint students with the way the statistical methods are used in making business decisions.

Acquired knowledge:
1. Knowledge of the statistical models and their applications in business.
2. Knowledge of basic statistical inference methods for parameters of the statistical model.
3. Knowledge of the statistical methods in analysing the correlation.

Acquired skills:
1. Using statistical methods of estimation and hypothesis testing.
2. Using basic statistical inference methods for decision making under uncertainty in business.

Acquired social skills:
1. Ability of defining the problem and finding adequate methods to solve it.

Course contents: 
1. Statistical models, the random sample, statistics and their distributions.
2. Estimation of the proportion and the mean.
3. Hypothesis testing about the proportion and the mean.
4. Statistical inference for parameters of two populations.
5. Testing of independence and homogeneity.
6. Inference for linear regression.

Recommended reading: 
1. Business Statistics, Sharpe N., De Veaux R., Velleman W., Pearson.
2. Lecture notes, Skolimowska-Kulig, M.,

Additional reading: 
1. Complete Business Statistics, Aczel, Amir D. , Homewood, IL . Boston.
2. Basic Statistics for Business & Economics, Douglas A. Lind, William G. Marchal, Samuel A. Wathen. , The McGraw-Hill Companies. McGraw-Hill Higher Education . Boston.
3. Introduction to the Practice of Statistics, Moore,D.S., . McCabe,G.P., Craig, B.A., W. H. Freeman and Company. New York.