Subject: APPLIED STATISTICS

Prerequisites: Probability theory and statistics. Matrix algebra.

 

Aims of the subject: Principles of statistical thinking and statistical inference. Understanding some statistical procedures, explanation the results of statistical evaluations. Solving problems and examples from business world and marketing. Integration theory and use of statistical software packages (NCSS, SPSS Student Version) with decision making procedures.

 

Subject matter:

  1. Basic definitions of probability theory, basic rules
  2. Distributions of discrete and continuous random variables
  3. Samples and sampling distributions, confidence intervals
  4. Hypothesis testing: definitions and steps
  5. Tests concerning population means
  6. Hypotheses about population proportions
  7. Design of experiments and ANOVA
  8. Simple linear regression, least square method
  9. Multiple linear regression model. Assumptions, tests in linear model
  10. Time series and description of their components. Trend analysis
  11. Forecasting. Seasonality and cyclical behaviour
  12. Categorical variables. Contingency tables. Chi-square test

 

Assessment strategy and method:

Solving exercises, written test, exam.

 

Indicative reading:

  1. McClave J.T., Benson P.G., Sincich T.: Statistics for Business and Economics. Prentice Hall International, Inc. Upper Saddle River, 1998
  2. Sincich T.: Business Statistics by Example. Macmillan Publishing Company. New York, 1995