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Business statistics
Chiara Gigliarano

Seat Fac. Economia - Sede di Ancona
A.A. A.A. 2015-2016
Credits 6
Hours 44
Period 1^ semestre
Language ENG

Prerequisites

Univariate and bivariate descriptive statistics. Most relevant inferential concepts (samples, statistics, estimators). 

Development of the course

The course will be taught through both theoretical lessons and hands-on classes, during which the students analyse and synthesize a number of datasets focused on economic and business research. Computer-based analyses will be also performed in the PC-lab using the open-source software GRETL and R.

Learning outcomes

1.    Knowledge and Understanding
Students will acquire a good understanding of the statistical tools covered in the course as well as the ability to analyse economic and business datasets using appropriate statistical techniques.
2.    Applying knowledge and understanding 
Students will be able to use statistical software for analysing datasets and preparing reports.
3.    Judgement, focus and communication skills
The discussions as well as the practical applications that will take place during the course will enable students to enhance their autonomy and their analytical and communicative skills.

 

Program

1.   The program will be focused on: 
-    Inferential statistics: point estimators, confidence intervals, hypothesis testing, p-value
-    Multivariate linear regression
-    Factor analysis
-    Cluster analysis
2.    Weekly computer-based exercises will be also performed in the PC-lab
3. Weekly home-works will be assigned

 

Development of the examination

1.    Exam. 
Written exam concerning the methodological issues discussed during the course and a computer-based practical assignment based on the analysis of a real data set. 
2.    Assessment criteriaStudents will be evaluated in their knowledge and understanding of the most relevant statistical tools for business analysis as well as in their ability to apply them to empirical problems and settings. 
3.    Grading scale 
Positive grades: from 18 to 30. Cum laude can be bestowed to outstanding performance
4.    Grading method 
The final grade will be obtained as the sum of the written exam’s mark (marked up to 26/30), of the practical assignment (marked up to 4/30) and of group-based homework assignments (marked up to 1/30).

 

Recommended reading

P. Newbold, W. Carlson, B. Thorne “Statistics for Business and Economics”, Prentice Hall (Chapters: 7-8-9)
R.A. JOHNSON, D.W. WICHERN “Applied multivariate statistical analysis” Pearson International Edition (Chapters: 1, 2, 4, 7, 9, 11, 12)
Additional material will be available in the e-learning web page

 

Courses

• L.M. - International Economics and Commerce curriculum Business Organization and Strategy
• L.M. - International Economics and Commerce curriculum International Economics and Business