Facts about the course

Study points:
7.5
Responsible department:
Faculty of Logistics
Course Leader:
Halvard Arntzen
Lecture Semester:
Autumn
Teaching language:
English
Duration:
½ year

LOG708 Applied Statistics with SPSS (Autumn 2018)

About the course

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, basic regression analysis, dummy variables in regression, nonlinear regression models, simple forecasting. Other statistical methods may also be discussed.
SPSS: Managing data, descriptive statistics and visualization, performing analyzes, interpreting output.

The course is connected to the following study programs

  • Master of Science in Logistics
  • Experience-based Master in Logistics
  • Master in Economics and Business Administration
  • International Study Programme - Master's level

Recommended requirements

A standard bachelor's level course in statistics is a highly recommended prerequisite. 

The student's learning outcomes after completing the course

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

Forms of teaching and learning

Two hours of lectures per week, two hours of exercises per week
 

Coursework requirements - conditions for taking the exam

  • Mandatory coursework: Assignment(s)
  • Courseworks given: 3
  • Courseworks required: 3
  • Presence: Not required
  • Comment:

Examination

  • Form of assessment: Written school assessment
  • Proportion: 100%
  • Duration: 4 Hours
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Support material: All printed and written supporting material + calculator that may contain data

Syllabus

Click here for reading list