21210057 - STATISTICA

The course aims at providing students with specific competences in sampling tecniques and statistical data analysis. Particular relevance is given to probability and inference, as the course means to provide students with the necessary tools for supporting decisional processes through the management of data bases and the use of statistical models.

Curriculum

Canali

teacher profile | teaching materials

Programme

An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.

Core Documentation

G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).

Type of delivery of the course

-

Type of evaluation

For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams.

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

teacher profile | teaching materials

Programme

An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.

Core Documentation

G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).

Type of delivery of the course

-

Type of evaluation

For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams.

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

teacher profile | teaching materials

Programme

An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.

Core Documentation

G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).

Type of delivery of the course

-

Type of evaluation

For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams.

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

teacher profile | teaching materials

Programme

An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.

Core Documentation

G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).

Type of delivery of the course

-

Type of evaluation

For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams.

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

teacher profile | teaching materials

Programme

An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.

Core Documentation

G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).

Type of delivery of the course

-

Type of evaluation

For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams.

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

teacher profile | teaching materials

Programme

An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.

Core Documentation

G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).

Type of delivery of the course

-

Type of evaluation

For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams.

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.