# 2012/2013  BA-HAI_2STA  Statistics

 English Title Statistics

# Course information

Language English
Exam ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Course period First Quarter, Autumn
Time Table Please see course schedule at e-Campus
Study board
Study Board for BSc in International Business
Course coordinator
• Søren Feodor Nielsen - Department of Finance
Main Category of the Course
• Statistics and mathematics
Last updated on 28-08-2012
Learning objectives
The basic objective of this course is to familiarize the students with the principles of probability theory and statistics. During the course the students will progress from theory to statistical applications through the use of case studies and assignments, and by emphasizing the scientific discipline of measurement construction. The student will acquire knowledge about what statistics and probability are and the different functions and elements of operations in international business firms. The students will expand their experience base by applying a variety of probability and statistical principles in the analysis and discussion of a number of theories, models and specific case studies.

To gain the highest grade in the exam, students must be able to fully recall basic probability and statistical models and concepts from the curriculum and present them in a comprehensive and well-argued way.

At the completion of this course the students will be able to:
• Identify key theories, models and concepts of probability and statistics.
• 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 in our lives, as well as grasp the crucial 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.
• Analysis of the association between categorical, discrete, and continuous variables, using contingency tables, correlation, regressions, and analysis of variance.
• Communicate the conclusions of statistical analysis clearly and effectively, i.e identify connections between basic statistics and the real world.
Prerequisite
None
Examination
.
 Statistics: Type of test Written Exam Marking scale 7-step scale Second examiner No second examiner Exam period October and Autumn Term, the regular exam takes place in October. The make-up and re-examination takes place in January. Aids Please, see the detailed regulations below Duration 4 Hours This is an open book exam meaning that all material is allowed (textbook, personal notes, lecture slides, exercise solutions, articles, calculator, etc.). An exception is any electronic device that makes it possible to communicate with others, e.g. USB key. PC exam with access to JMP, LEARN and personal S-drive on CBS network. Students do NOT have access to Internet.
Examination
The Make-up and Re-examination takes place according to the same rules as the regular exam.
Course content

The major goal of the statistics course is to produce statistically educated students which mean that students should develop statistical literacy and the ability to think and reason statistically.

Statistics is a valuable tool in the practical application of every other science. Emphasis is on interpretation and understanding of simple statistical methods as applied in business, economics, different types of companies or institutions and industries.

The topics of the curriculum are:

• The basic laws of probability and the most important probability distributions.
• Descriptive statistics, both numerical and graphical.
• Statistical inference; estimator, confidence intervals and significance tests of hypotheses.
• Analysis of categorical variables using contingency tables.
• Regression analysis; simple, multiple, covariance, logistic.
• One-way and two-way analysis of variance.
Teaching methods
Lectures, exercises and computer classes.
Expected literature

Book: Agresti A., C. Franklin (2008): “Statistics: The Art and Science of Learning from Data”, Prentice Hall.
Supplementary notes

Please note, minor changes might occur. The teacher will upload the final reading list to Learn two weeks before the course starts.

Last updated on 28-08-2012