Statistics

Introduction

This is a basic statistics course that is included as a mandatory part of the bachelor programs in business administration subjects. The course provides an introduction to basic probability theory, some statistical methods and elementary use of statistical data tools in order to be able to effectively process and analyze data. Use of statistical software is an important element of the course.

Course content

• Descriptive statistics: Central measures, dispersion measures, covariation measures and graphical representations.
• Combinatorics and probability calculus. Conditional probability.
• Random variables. Expectation, variance and covariance.
• Central probability distributions with emphasis on the indicator distribution, binomial distribution, the normal distribution and the t-distribution. We also look at a general simultaneous distribution.
• Estimators and estimation. Sampling distributions and the central limit theorem. Confidence intervals.
• Hypothesis tests for, among other things, average, proportion, comparison of averages in two groups, comparison of proportions in two groups, chi-square test for probabilities, chi-square test for covariation between categorical variables.
• Simple linear regression including inference (confidence intervals and hypothesis tests for the regression parameters).
• Active use of statistical software.