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2012/2013  BA-HA_HU8S  Basic Statistics for Business and Economics

English Title
Basic Statistics for Business and Economics

Course information
Language English
Exam ECTS 7.5 ECTS
Type Elective
Level Bachelor
Duration Summer
Course period Summer
NOTE: The course schedule is at the moment ONLY available at www.cbs.dk/summer
Time Table Please see course schedule at e-Campus
Study board
Study Board for BSc in Economics and Business Administration
Course coordinator
  • Faculty - Rene Leo E. Ordonez, PhD, Professor of Business, Southern Oregon University
    Patricia Plackett - Department of Operations Management
Main Category of the Course
  • Statistics and mathematics
Last updated on 23-04-2012
Learning objectives
Upon the successful completion of this course, a student should be able to:
  • Demonstrate ability to identify the appropriate statistical technique for analysis of data.
  • Demonstrate skill in using a computer application computer (e.g., Excel 2007) for data analysis.
  • Define and explain the importance of statistics in business and economics
  • Demonstrate understanding of the usefulness and application of statistical methods in various decision making situations in business and economics
  • Apply what has been learned to the solution of practical problems in the business and economics areas through the development, evaluation, and selection of alternative statistical techniques.
Prerequisite
Basic algebra, working knowledge of spreadsheet application (Excel)
Examination
Basic Statistics for Business and Economics
4-hour written exam:
Type of test Written Exam
Marking scale 7-step scale
Second examiner No second examiner
Exam period Summer Term
Aids Open Book, Written Aid is permitted
Duration 4 Hours

Mandatory Feedback Assignment: Submission of assigned class work during the summer session is a requirement for taking the final exam
Course content
The course will be delivered via a combination of lecture and problem-solving requiring students to apply basic statistical tools and techniques to business and economics-related problems. Computer-based statistical tools are utilized in tackling problem solving.  Topics that will be covered include: 
  • Numerical and graphical representation of data;
  • Introduction to probability, including Bayes’ Theorem;
  • Binomial and Normal probability distributions;
  • Sampling Distributions and the Central Limit Theorem;
  • Confidence interval estimation for one and two population means and proportions;
  • Hypothesis testing for one and two populations means and proportions;
  • Introduction to simple linear regression.
Teaching methods
The course will be a combination of lectures and situational problem solving. Lectures will address the concepts and proper procedures for carrying out the various statistical methods covered in the class. This will be followed by application of the concepts and methods to business and economic-related problems. Computer software, mainly Excel, will be used in solving statistical problems. Students will be expected to read the assigned material and work on assigned textbook problems outside of class. The cases and problem sets are for submission to the instructor. Completion of the assigned work will allow students to take the final exam.

Excel-based statistical templates developed by the instructor will be used as a class supplement. Digitized lectures (e.g. digitally recorded computer-based lectures and demos) will also be made available to students to further enhance learning. These materials are found on the Web at webpages.sou.edu/~ordonez/BA282Web/Index.htm

Expected literature
 Statistical Techniques in Business and Economics, Lind et al, 14th Edition, 2010, ISBN-978-0-07-340176-8 (826 pages)

Last updated on 23-04-2012