# INTRODUCTION TO STATISTICS cod. 1006213

2° year of course - Second semester
Professor
Probabilità e statistica matematica (MAT/06)
Field
Attività formative affini o integrative
Type of training activity
Related/supplementary
56 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.

none

## 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,
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.

## 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.