# STATISTICAL METHODS FOR MANAGEMENT cod. 1005198

2° year of course - First semester
Professor
CORBELLINI Aldo
Statistica (SECS-S/01)
Field
Statistico-matematico
Type of training activity
Characterising
42 hours
of face-to-face activities
6 credits
hub: PARMA
course unit
in - - -

## Learning objectives

The course gives knowledge on basic statistical techniques for Marketing and Management applications.
a) Statistical tools for preliminary data analysis and reporting;
b) Descriptive statistical measures;
c) Confidence intervals and hypothesis testing for means and proportions, together with p-value interpretation;
d) Simple linear regression.
The aim of the course is threefold:
1. To provide both a theoretical and a practical understanding of basic statistical methods.
2. To provide a Marketing-driven context for 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 Excel 2013.

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## Course unit content

The aim of the course is to describe the main basic statistical techniques, with a focus on applications in Marketing and Management. Specifically, the course will address:

a) Statistical tools for preliminary data analysis and reporting;

b) Descriptive statistical measures, for summarizing business information;

c) Confidence intervals and hypothesis testing, for the analysis of sample data;

d) 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 Excel 2013.

## Full programme

a) Statistical tools for preliminary data analysis and reporting;
b) Descriptive statistical measures, for summarizing business information;
c) Confidence intervals and hypothesis testing, for the analysis of sample data;
d) Simple linear regression, which allows the analysis of bivariate relationship and is a prerequisite for more complex statistical modeling.

## Bibliography

M. Riani, F. Laurini, G. Morelli: Strumenti statistici e informatici per applicazioni aziendali. Pitagora Editrice, Bologna, 2013, Chapters 1 – 3.

## Teaching methods

Lectures and practical work.

## Assessment methods and criteria

Written exam. 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 Excel 2013, 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.

## Other information

Please check professor's web page for updates on course, exams, dates and time, office hours and so on