21210113 - STATISTICS

Statistics is a compulsory course aimed at introducing the basic techniques for the analysis of statistical data. Topics taught include displaying and describing data, basic probability theory and statistical inference. Attention will be focused on applications to business and economics.
At the end of the course, the student will have:
- become familiar with the main concepts and methods of descriptive statistical analysis, probability and inference;
- acquired a theoretical understanding of statistical techniques and an appropriate critical sense in choosing the most suitable indicators and techniques for the analysis of data sets with specific characteristics;
- developed the ability to analyse real data sets by choosing the most appropriate technique, applying it and interpreting the results.

Curriculum

Canali

teacher profile | teaching materials

Programme

descriptive statistics
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability

bivariate descriptive statistics
independence, association, correlation

probability distributions for discrete and continuous variables
sampling distributions

Inference:
estimation
hypothesis test

Core Documentation

A. Agresti, B. Finlay
Statistical methods for the social sciences

Pearson International Edition - 4th edition 2009

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

Type of delivery of the course

It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersises

Type of evaluation

There is a written examination consisting in 3 or 4 numerical excercises to evaluate the degree of knowledge of the subject.

Canali

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 A - C Matta Carlo

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 D - K NACCARATO ALESSIA

teacher profile | teaching materials

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 L - P Daddi Stefano

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

teacher profile | teaching materials

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 Q - Z TERZI SILVIA

Programme

descriptive statistics
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability

bivariate descriptive statistics
independence, association, correlation

probability distributions for discrete and continuous variables
sampling distributions

Inference:
estimation
hypothesis test

Core Documentation

A. Agresti, B. Finlay
Statistical methods for the social sciences

Pearson International Edition - 4th edition 2009

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

Type of delivery of the course

It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersises

Type of evaluation

There is a written examination consisting in 3 or 4 numerical excercises to evaluate the degree of knowledge of the subject.

Canali

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 A - C Matta Carlo

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 D - K NACCARATO ALESSIA

teacher profile | teaching materials

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 L - P Daddi Stefano

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

teacher profile | teaching materials

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 Q - Z TERZI SILVIA

Programme

descriptive statistics
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability

bivariate descriptive statistics
independence, association, correlation

probability distributions for discrete and continuous variables
sampling distributions

Inference:
estimation
hypothesis test

Core Documentation

A. Agresti, B. Finlay
Statistical methods for the social sciences

Pearson International Edition - 4th edition 2009

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

Type of delivery of the course

It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersises

Type of evaluation

There is a written examination consisting in 3 or 4 numerical excercises to evaluate the degree of knowledge of the subject.

Canali

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 A - C Matta Carlo

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 D - K NACCARATO ALESSIA

teacher profile | teaching materials

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 L - P Daddi Stefano

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

teacher profile | teaching materials

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 Q - Z TERZI SILVIA

Programme

descriptive statistics
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability

bivariate descriptive statistics
independence, association, correlation

probability distributions for discrete and continuous variables
sampling distributions

Inference:
estimation
hypothesis test

Core Documentation

A. Agresti, B. Finlay
Statistical methods for the social sciences

Pearson International Edition - 4th edition 2009

Reference Bibliography

A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009

Type of delivery of the course

It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersises

Type of evaluation

There is a written examination consisting in 3 or 4 numerical excercises to evaluate the degree of knowledge of the subject.