The same as for the MSc program in logistics. LOG708 is at the outset a mandatory course. Students with sufficient background knowledge in statstics may apply for an excemption. Passing a test in the beginning of the semester will normally be required for students applying for excemption.
The students will be required to submit solutions to assignments during the semester.
2 hour (mid term) school examination (40 %) Final take-home examination (60 %)
The overall aim of the course is to provide the students with a basic understanding of randomness, and how probability theory and statistical methods can be used for handling randomness in practice. In particular, emphasis will be on gaining familiarity with statistical software (SPSS, Excel), which will be useful later in the master program. The students will learn how to manage data and perform the most common types of statistical analyses.
Random variables and probability distributions. Samples and populations, estimation and inference. Confidence intervals. Testing of statistical hypotheses.
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: Handling data, descriptive statistics, performing analyses, interpreting results.
Other topics related to randomness (e.g. simulation) may be discussed briefly.
