Description

The course is intended to give basic knowledge of the theory and methods of statistical inference, i.e., how to use observed data to draw conclusions about phenomena influenced by random factors. By the end of the course, the student should be able to: use a probability model to describe and analyses observed data and draw conclusions concerning interesting parameters; understand the principles of statistical inference; explore the relationships between two or several variables and use suitable software (R) for certain types of statistical analyses.

Program

Software Engineering bachelor`s degree Program

Objectives

• • Use statistical methodology and tools in the problem-solving process.
  • Compute and interpret descriptive statistics using numerical and graphical techniques.
  • Understand the basic concepts of probability, random variables, probability distribution, and joint probability distribution.
  • Compute point estimation of parameters, explain sampling distributions, and understand the central limit theorem.