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Learning Objectives
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Through this course the students should be able to:
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Explain different kinds of measurement of characteristics (types of variables), and sampling biases.
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Illustrate, calculate, and interpret descriptive statistics (mean, median, variance, stan-dard deviation) on numerical variables.
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Explain and discuss the concept of probability, and relate to measures of critical val-ue, confidence interval and p-value. Understand the concept of inference.
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Based on these concepts and measures, perform appropriate significance tests for the mean and for comparing means (for example average incomes by two groups).
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Perform significance tests for proportions of values of categorical variables (fx. shares of votes in an election or preferences for various products), and for the association between two categorical variables (fx. gender and prefe-rences).
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Explain and illustrate the concept of correlation between numerical variables, and compute a correlation coefficient (for example between household income and spending on a specific product).
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Explain the logic of regression analysis and explain the difference between correlation and regression analyses. Formulate and discuss adequate regression models for explaining phenomena.
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Perform simple (linear and non-linear) regression analyses, and further multivariate regression. Interpret regression coefficients (through standard errors, p-values etc.) and the determination coefficient R2, and investigate residuals.
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Include categorical (dummy) variables as explanatory variables.
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Prerequisite
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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
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Examination
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Methods III – Statistics and quantitative methods:
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Assessment
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Written Exam
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Marking Scale
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7-step scale
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Censorship
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Internal examiners
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Exam Period
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Autumn Term
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Aids
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Please, see the detailed regulations below
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Duration
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4 Hours
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• The written exam takes place on CBS computers
• Graphs can be written by hand
• Aids: Open book, but please note:
• Students have access to their personal files (S-drive on CBS network)
• Students do NOT have access to Internet, Site Scape/ 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 |
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Course Content
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The course address established statistical methods for representing and analyzing quantitativedata, primarily survey data. The focus is on application of methods, not on statistical theory.
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 immediately at hand.
Main modules composing the course are:
• Descriptive Statistics
• Probability
• Hypothesis Testing (on differentials in mean and proportions)
• Correlation Analysis
• Regression Analysis (the most extensive topic) |
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Teaching Methods
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Lectures and, extensive Homework Exercises.
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Student Workload
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Classes
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30
hours
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Reading and Homework exercises
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140
hours
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Preparation for written exam
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55
hours
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Literature
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- Alan Agresti and Christine Franklin: ‘Statistics. The Art and Science of learning from Data’, 2nd 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
- Notes on Excel statistical functions.15 pages (to be downloaded from Learn)
Please note, minor changes may occur. The teacher will upload the final reading list to Learn two weeks before the course starts. |
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