# 2017/2018  BA-BPOLO2004U  Statistics

 English Title Statistics

# Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc/MSc i International Business and Politics, BSc
Course coordinator
• Peter Dalgaard - Department of Finance (FI)
• Statistics and quantitative methods
Last updated on 22-06-2017

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors: The goal of the statistics course is to raise methodological awareness and prepare students to compare statistical approaches with different approaches later on. Students should develop statistical literacy and the ability to think and reason statistically. The student should become able to:
• Use graphical and numerical methods for exploring and summarizing data on a single categorical or quantitative variable.
• Describe basic probability and how probability helps us understand randomness, and explain the concept of a sampling distribution and how it relates to inference methods.
• Choose and justify appropriate descriptive and inferential methods for examining and analyzing data and drawing conclusions.
• Analyze of the association between variables, categorical, continuous and both, using contingency tables, correlation, and basic regression analysis.
• Communicate the conclusions of statistical analysis clearly and effectively, i.e interpret the numerical results in terms of the original research topic.
Examination
 Statistics: Exam ECTS 7,5 Examination form Oral exam based on written product In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance. Individual or group exam Individual oral exam based on written group product Number of people in the group 3-5 Size of written product Max. 15 pages You must apply for an exemption if you have extenuating circumstances for wanting to write the exam in groups with less than 3 students Assignment type Written assignment Duration Written product to be submitted on specified date and time. 20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade Grading scale 7-step scale Examiner(s) Internal examiner and external examiner Exam period Summer Make-up exam/re-exam Same examination form as the ordinary exam Make-up/re-exam when ill at the oral exam or when the ordinary exam is failed based on a submitted assignment, is an individual oral exam (20 minutes per student) based upon the same assignment. The assignment must be resubmitted. Make-up exam when ill during the writing of the assignment or have failed to submit an assignment is a 20 minutes oral exam with 20 minutes open book preparation in the entire curriculum. Description of the exam procedure During the oral exam the examination may involve questions from the entire curriculum.
Course content and structure

Statistics is both a science in itself and a technology with applications in almost every other branch of science. The course emphasizes conceptual understanding rather than just instrumental usage of statistical procedures. The focus is on the interpretation and understanding of basic statistical methods as applied in social sciences, business economy and political economy.
The curriculum includes:
· Descriptive statistics, both numerical and graphical.
· The basic laws of probability, and the most important probability distributions.
· Statistical inference; confidence intervals and significance tests about hypotheses.
· Basic tests for means, proportions, and contingency tables.
· Simple regression analysis and basic multiple regression.

Teaching methods
Lectures w/ discussions and exercises, computer labs, groupwork for synopsis
Feedback during the teaching period
There is no written feedback on the Exam Assignment. Oral feedback is given after the exam as time permits. We try to offer feedback in response to questions whenever feasible within time constraints. The strongest (and bidirectional) feedback mechanism for this course is probably the computer labs where students can get help with operating statistical software and interpreting the output.

Students are encouraged to take advantage of the ‘office hours’ offered by full-time staff members (in weeks where they teach), although these can never be a substitute for participation in lectures and classes. We also encourage students to ask questions or make comments in class and form self-study groups to secure peer feedback on your work.