The same as for the MSc program in logistics. LOG708 is at the outset a mandatory course. Students with sufficient background knowledge in statistics may apply for an exemption. Passing a test in the beginning of the semester will normally be required for students applying for exemption.

After finishing the course, the students should have knowledge and skills enabling them to do simple practical empirical work, using software tools, e.g. SPSS. Specifically, the students should be able to

• Use basic probability distributions for simple modeling and to find probabilities and moments
• Use statistical software (SPSS) to effectively organize and present information extracted from data
• Compute confidence intervals for central population parameters such as means, variances and proportions
• Perform tests of statistical hypotheses regarding central population parameters
• Perform simple and multiple regression analysis with statistical software
• Give practical interpretations and present the results of statistical analyses in nontechnical terms

Random variables and probability distributions. Samples and populations, estimation and inference. Confidence intervals. Testing of statistical hypotheses. Significance levels and P - values.
Methods: T – tests, Z – test for proportions, chi-square tests, simple nonparametric methods, basic regression analysis. Simple forecasting. Other statistical methods may also be treated.
SPSS: Managing data, descriptive statistics, performing analyzes, interpreting output.

Newbold, Carlson and Thorne: Statistics for Business and Economics, 7. edition. Pearson, Selected material from chapter 1 - 11.