This course is an introduction to statistical thinking. Firstly, the student will learn to produce and to interpret descriptive statistics. Secondly,  the student will learn the logic of statistical inference and how to construct confidence intervals and perform hypothesis tests. The emphasis is on understanding concepts and interpretation of results, more than on mathematical machinery. Through real-world data example students will understand the usefulness of statistics in business and marketing.

Course content

  • Collection of data
  • Describing the sample at hand
  • Probability
  • Confidence intervals for mean and proportion 
  • Hypothesis tests  for mean and proportion 
  • Correlation and regression
  • Chi-square test


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 We reserve the right to make changes to this description.