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2015/2016  BA-BSEMO1005U  Method ll. Statistics and quantitative methods

English Title
Method ll. Statistics and quantitative methods

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Start time of the course Third Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc in Service Management
Course coordinator
  • H.C. Kongsted - Department of Innovation and Organizational Economics (INO)
Contact information: https:/​/​e-campus.dk/​studium/​kontakt
Main academic disciplines
  • Statistics and quantitative methods
Last updated on 31-07-2015
Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors: Upon completion of the 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.
  • 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 and related measures (standard errors, p-values etc.) and the determination coefficient R2, and investigate residuals.
Course prerequisites
English language skills equal to B2 level (CEFR) and math skills equal to Danish level B are recommended
Examination
Methods II. Statistics and quantitative methods:
Exam ECTS 7,5
Examination form Written sit-in exam
Individual or group exam Individual
Exam guidelines:
• The written exam takes place on CBS computers
• Graphs can be drawn 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) One internal examiner
Exam period Spring
Aids allowed to bring to the exam Limited aids, see the list below:
  • Written sit-in-exam on CBS' computers
  • Books and compendia brought by the examinee
  • Allowed dictionaries
  • Allowed calculators
  • Notes in paper format brought by the examinee
  • Access to personal drive (S-drive) on CBS' network
  • Additional allowed aids, please see the list below
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 addresses established statistical methods for representing and analyzing quantitativedata, primarily survey data. The focus will be on the application of methods. Students will learn how phenomena are measured statistically and what kind of conclusions statistical research can lead to. 

The main modules composing the course are:

• Probability
• Tests of hypotheses about means and proportions and the association between categorical variables

• Correlation Analysis
• Regression Analysis

 

Students will learn how to perform statistical analyses. The statistical software is Microsoft Excel which allows for basic analyses and understanding, and Excel is common software readily available.
Teaching methods
Lectures, workshops, and homework exercises.
Student workload
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 31-07-2015