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Introduction

The course MET 1190 provides a basic introduction to the subject of statistics. The content of the course can be divided into two main themes, data analysis and probability theory. Data analysis is the activity of processing and analyzing sampled data for the purpose of drawing conclusions (inference) about phenomena in a population. Probability theory forms the mathematical foundation for developing the methods used in data analysis. Data analysis and probability theory are becoming increasingly important in areas such as economics, financial economics, and accounting. The course is composed of topics such as descriptive statistics, probability theory, classic statistical inference, and regression analysis. The course will also include training in the use of statistical software and simple programming.

Course content

  • Sequences
  • Descriptive statistics
  • Probability models
  • Probability theori
  • Random variables
  • Central limit theorem
  • Estimation
  • Inference
  • Regression analysis

Disclaimer

This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.