Management engineering | University of Parma

Professor
Academic discipline: Statistica economica (SECS-S/03)
Field: Attività formative affini o integrative
Type of training activity: Related/supplementary

21 hours
of face-to-face activities

3 credits

hub: PARMA

course unit
in - - -

lectures timetable unavailable

exam calls

Integrated course unit module: STATISTICS

Learning objectives

The main goal of the course is to supply the chief instruments of
descriptive statistics and Inference.

Prerequisites

- - -

Course unit content

1. Statistical distributions .
2. Means.
3. Index Numbers .
4. Variability measures.
5. Regression.
6. Sample Space.
7. Casual variables.
8. Central Limit Theorem.
9. Sample distributions.
10. Estimation.
11. The classical linear model.

Full programme

1. Statistical distributions .
2. Means with their properties.
3. Index Numbers .
4. Variability measures.
5. Regression.
6. Sample Space with relative theorems.
7. Casual variables and their properties.
7.1 Relevant distributions.
8. Central Limit Theorem.
8.1 Central limit theorem and pareto and Cauchy distributions.
9. Sample distributions.
10. Estimation.
11. The classical linear model.

Bibliography

Leoni, R. (1993), Introduzione alla Statistica descrittiva, Libreria Alfani,
Firenze.
Ferrari G., Marliani G. (1993), Complementi ed esercizi di statistica
descrittiva,Libreria Alfani, Firenze.
Ferrari G., Leoni R., Marliani G. (1993), Introduzione al campionamento e
all’inferenza statistica. Libreria Alfani, Firenze.

Teaching methods

During the lessons the chief topics of Statistics will be explained with the
solutions of exercises.

Assessment methods and criteria

Written and oral exam.

Other information