2012/2013  BA-HA_HU8G  Introductory Business Statistics(Cancelled, new statistics course on the way)

English Title

Introductory Business Statistics(Cancelled, new statistics course on the way)

Course information
Language	English
Exam ECTS	7.5 ECTS
Type	Elective
Level	Bachelor
Duration	Summer
Course period	Course cancelled, new course on the way Further information on 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 - Brian Eric Smith, McGill University Stig Hartmann - Department of Accounting and Auditing
Main Category of the Course
Statistics and mathematics
Last updated on 12-01-2012

Learning objectives

Learn methods of data collection Learn graphical techniques for displaying data in a clear and meaningful format Interpret graphical presentation of data Develop the skills and understanding necessary to use data for decision making in a managerial environment Study basic probability theory, including Bayes’ Theorem Study the Binomial and Normal probability distributions Learn techniques to use sample data to make statistical inferences about populations Learn to apply statistical inference in a variety of managerial settings and to read and understand statistical reports in business and economics

Prerequisite

High School Algebra: Compulsory

Examination

Introductory Business Statistics

4-hour written exam (closed book): Type of test Written Exam Marking scale 7-step scale Second examiner No second examiner Exam period Summer Term Aids Please, see the detailed regulations below Duration 4 Hours Exam aids:  formula Sheet; Calculator (any type); Translation Dictionary. Details to be announced.

Course content

Content of a typical introductory undergraduate statistics course as taught in Canada or the USA. The main topics include: Data collection; 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 of  population means and proportions; Hypothesis testing for populations means and proportions; Introduction to simple linear regression.     The course’s development of personal competences:   Students will acquire skills in analyzing data and understanding relationships between variables; they will be required to do homework from assigned problem sets designed to give them experience in solving real-world business oriented problems; analysis of real data sets will prepare students to apply statistical concepts in business and economics.

Teaching methods

Lectures; discussion of case studies; use of PowerPoint presentations

Expected literature

Basic Business Statistics: Concepts and Applications, 12th Edition, (Global Edition) Mark L. Berenson, David M. Levine, Timothy C. Krehbiel Pearson, 2010.