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Statistical Data Analysis (FUN107)

Course description

This is an introductory course of statistical data analysis, designed for the students of the Economics and Politics program. The material covered in the course includes methods of data collection, analysis, presentation of results as well as the use of statistical data analysis software, SPSS®. The course encompasses methods of descriptive statistics, statistical estimates, data comparison hypothesis testing, correlation as well as regression analysis. During the laboratory sessions students will learn to use the statistical data analysis software, SPSS®, types of data, user tools, as well as procedures for data analysis and presentation. Statistical methods and SPSS® software will be applied to the analysis of concrete economic and political data.

Course aim

The goal of the course is to provide students with the theoretical knowledge and practical skills necessary for the analysis of economic and political data.  At the end of the course the students should be able to identify and apply the key methods of data analysis, carry out the analysis using specialized software, and to interpret the results.

Learning outcomes

  • To understand the basic terminology used in statistics.
  • To understand the basic principles of descriptive statistics.
  • To understand the basic concepts of probability.
  • To understand the basic principles of inferential statistics.
  • To be able to utilize the correct statistical test based on sample, and hypothesis.
  • To understand the difference between parametric and nonparametric tests.
  • To be able to apply basic descriptive statistics to an available data base.
  • To be able to apply the appropriate basic inferential statistics to the decision making process.
  • To be able to make generalizations about a population based on a sample from that population.
  • To be able to apply statistical techniques to evaluate basic business hypothesis.

Syllabus
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