Business Statistics

The primary purpose of the course is to acquaint students with the basic statistical toolbar and its business applications including the tools and methods of collecting, graphically presenting, describing, measuring, and analysing statistical data. The lessons focus on business statistics, sampling, and descriptive statistics. The course enables students to test hypotheses and to analyse regression and correlation in practice.

Mathematics II.

Vectors in 2 and 3 dimensions. Coordinates. Equations for lines, planes. Vectors in n-dimensional space. Matrices. Systems of linear equations, Matrix equations. Determinants and inverse. Eigenvalues and eigenvectors. Basics of probability. Events, their probability. Independence. Conditional probability and Bayes theorem. Random variables and their expected value, variance and standard deviation. Discrete random variables. The binomial distribution. Poisson distribution. Continuous random variables. The cumulative distribution function and probability density functions. Uniform distribution. Normal probability distributions. The central limit theorem (statement only).