STATISTICS FOR MANAGEMENT
LEARNING OUTCOMES OF THE COURSE UNIT
The course gives knowledge on basic statistical techniques for Marketing and Management applications.
In particular, the course addresses:
a) Basic statistical plots and univariate measures;
b) Confidence intervals and hypothesis testing for means and proportions,
together with p-value interpretation;
c) Simple linear regression.
The aim of the course is threefold:
1. To provide both a theoretical and a practical understanding of basic
2. To provide a Marketing-driven context for the study of these methods.
3. Using real data and a learning-by-doing approach, to illustrate the
application and the interpretation of these methods.
Computational aspects of the methods are addressed through the use of MS Excel.
COURSE CONTENTS SUMMARY
The aim of the course is to describe the use of basic statistical techniques,
with a focus on applications in Marketing and Management. Specifically,
the course will address:
a) Basic statistical plots and univariate measures, for the summary of business information;
b) Confidence intervals and hypothesis testing, for the analysis of sample data;
c) Simple linear regression, which allows the analysis of bivariate
relationship and is a prerequisite for more complex statistical modeling.
All these techniques will be applied to business data through MS Excel.
M. Riani, F. Laurini, G. Morelli: Strumenti statistici e informatici per
applicazioni aziendali. Pitagora Editrice, Bologna, 2013, Chapters 1 (except Sections 1.3, 1.5, 1.6, 1.8), 2 and 3.
ASSESSMENT METHODS AND CRITERIA
Knowledge and understanding will be assessed by methodological questions, marked 3 grade points each.
The ability of applying knowledge will be assessed by questions on applications and on the use of statistical functions in MS Excel, marked 3 grade points each. Learning and understanding skills will be assessed by questions on the conclusions to be drawn from basic statistical analysis, marked 3 grade points each.
Details on examination procedures will be provided to the class and made available through the web site:
Lectures; practical work (assisted, if funding available). Details on
the timetable will be provided to the class and made available through
the web site: http://elly.economia.unipr.it/2016/