# 2013/2014  BA-HAS_MIIS  Method ll. Statistics and quantitative methods (for students enrolled in 2013)

 English Title Method ll. Statistics and quantitative methods (for students enrolled in 2013)

# Course information

Language English
Exam ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Course period Third Quarter
Time Table Please see course schedule at e-Campus
Study board
Study Board for BSc in Service Management
Course coordinator
• Per Vejrup-Hansen - Department of Innovation and Organizational Economics (INO)
• Statistics and mathematics
Last updated on 02/04/2014
Learning objectives
Through this course the students should be able to:
• Explain different kinds of measurement of characteristics (types of variables), and sampling biases.
• Explain and discuss the concept of probability, and relate to measures of critical value, confidence interval and p-value. Understand the concept of inference.
• Based on these concepts and measures, perform appropriate tests about means and proportions
• Perform tests about the association between two categorical variables (for example gender and preferences).
• Explain and illustrate the concept of correlation between numerical variables, and compute a correlation coefficient
• Explain the logic of regression analysis and explain the difference between correlation and regression analyses. Formulate and discuss adequate regression models for explaining phenomena.
• Perform linear and non-linear regression analysis, and further multivariate regression including categorical (dummy) variables as explanatory variables. Interpret regression coefficients (through standard errors, p-values etc.) and the determination coefficient R2, and investigate residuals.
Course prerequisites
Students not enrolled in BSc in Business Administration & Service Management must document a level in English equal to TOEFL 575, and A level in mathematics equal to Danish level B
Examination
 Methods III – Statistics and quantitative methods: Examination form Written sit-in exam Individual or group exam Individual Exam guidelines: • The written exam takes place on CBS computers • Graphs can be written by hand • Students have access to their personal files (S-drive on CBS network) • Students do NOT have access to Internet, LEARN, and other services from CBS (except their personal S-drive on CBS network) • Students are not allowed to bring personal electronic devices to the exam, except a non-programmable calculator. • Re-take examinations and make-up examinations are subject to the same regulations as the ones noted above Assignment type Written assignment Duration 4 hours Grading scale 7-step scale Examiner(s) Internal examiner and second internal examiner Exam period Spring Term Aids allowed to bring to the exam Limited aids, see the list below and the exam plan/guidelines for further information: Additional allowed aidsAllowed calculatorsAllowed dictionariesBooks and compendia brought by the examineeNotes brought by the examinee Make-up exam/re-exam Same examination form as the ordinary exam If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Course content and structure

The course address established statistical methods for representing and analyzing quantitativedata, primarily survey data. The focus is on application of methods.
Students will learn how phenomena are measured statistically and what kind of conclusions statistical research can lead to.
Also, students will learn how to perform these analyses. The statistical software is Microsoft Excel which allows for basic analyses and understanding, and Excel is common software readily available.

Main modules composing the course are:

• Probability
• Hypothesis tests about means and proportions

• Test about the association between categorical variables

• Correlation Analysis
• Regression Analysis (the most extensive topic)

Teaching methods
Lectures, workshops, and homework exercises.
 Classes 30 hours Reading and homework exercises 130 hours Attending workshops 10 hours Preparation for written exam 55 hours
Expected literature
• Alan Agresti and Christine Franklin: ‘Statistics. The Art and Science of learning from Data’, 3rd Edition. Pearson Education International. Chapters 1, 3, 4, and 6-13. Exclusive of sections 4.3 and 6.3. Section 13.6 is summary reading. 420 pages

• Per Vejrup-Hansen: 'Excel for Statistics. How to Organize Data'. Samfundslitteratur 2013. 80 pages

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

Last updated on 02/04/2014