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

Programme

This graduate level course covers the following topics:An overview of statistics

Data description: scales of measurement, how to describe data graphically for categorical data (pie chart, bar chart) and graphs for quantitative variables (histogram, pie chart)

How to describe data by summary statistics: measures of central tendency, variability and skewness.

How to create a box plot

How probability and probability distributions are involved in statistics

How binomial distributions are involved in statistics

The role that normal distributions play in statistics

Simple random sampling and sampling distribution of sample mean, central limit theorem, normal approximation to the binomial

Differentiation between a population and a sample, how to use a statistic to estimate a population parameter, confidence interval and its interpretation, inferences of population mean and proportion

Confidence interval for population mean, Sample size needed for estimating the population mean with a specified confidence level and specified width of the interval

Hypothesis testing: in terms of how to set up Null and Alternative hypotheses, understanding Type I and Type II errors, performing a statistical test for the population mean

p-value, how to compute it and how to use it

Inferences about μ with σ unknown: the t-distribution and the assumptions required to check in order to use it

How to compare the mean of two populations for independent samples: using pooled variances t-test versus separate variances t-test

How to compare the mean of two populations for paired data

How to compare two population proportions

Using contingency table and the Chi-square test of independence

Understanding concepts related to linear regression models including, least squares method, correlation, inferences about the parameters in the linear regression model

Core Documentation

The course the course is taught in Italian so textbooks are in Italian:- G. Cicchitelli, Statsitica: Principi e Metodi, Pearson Education, 3/Eds

- Sebastiani M. R. (2015) “Esercitazioni di statistica”. Esculapio Editore, 3° edizione.

For English speaking students a textbook is:

Introductory Statistics for Business and Economics by Thomas H. Wonnacott and Ronald J. Wonnacott

John Wiley & Sons Inc; International 2 Revised ed

Notes and handout (in Italian) are available at the web page of the course.

Type of delivery of the course

6 hours per week of classes by the lecturer and 2 hours per week of tutorials.Attendance

frequency is recommended but not mandatoryType of evaluation

Examination procedure (NOT in health emergency COVID-19 period) - The written test lasts two hours. - The written test consists of: exercises, multiple choice questions, theoretical questions. - It is not allowed to introduce any notes and/or books in the exam room. Students are allowed to bring only the tables of probability distributions available on the course website. - The written test is passed if the student obtains sufficiency both in the practical and in the theoretical part. - A candidate who has passed the written test may request that the grade obtained in the written exam be recorded, unless an oral exam is requested by the lecturer. - A candidate who has passed the written test may request to perform the oral exam. - Students who are awarded a "insufficient" grade in the written test are not allowed to take the exam in the next exam session.Canali

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 A - D FORTUNA FRANCESCA

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 E - O Ballin Marco

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 P - Z VICARD PAOLA

Programme

This graduate level course covers the following topics:An overview of statistics

Data description: scales of measurement, how to describe data graphically for categorical data (pie chart, bar chart) and graphs for quantitative variables (histogram, pie chart)

How to describe data by summary statistics: measures of central tendency, variability and skewness.

How to create a box plot

How probability and probability distributions are involved in statistics

How binomial distributions are involved in statistics

The role that normal distributions play in statistics

Simple random sampling and sampling distribution of sample mean, central limit theorem, normal approximation to the binomial

Differentiation between a population and a sample, how to use a statistic to estimate a population parameter, confidence interval and its interpretation, inferences of population mean and proportion

Confidence interval for population mean, Sample size needed for estimating the population mean with a specified confidence level and specified width of the interval

Hypothesis testing: in terms of how to set up Null and Alternative hypotheses, understanding Type I and Type II errors, performing a statistical test for the population mean

p-value, how to compute it and how to use it

Inferences about μ with σ unknown: the t-distribution and the assumptions required to check in order to use it

How to compare the mean of two populations for independent samples: using pooled variances t-test versus separate variances t-test

How to compare the mean of two populations for paired data

How to compare two population proportions

Using contingency table and the Chi-square test of independence

Understanding concepts related to linear regression models including, least squares method, correlation, inferences about the parameters in the linear regression model

Core Documentation

The course the course is taught in Italian so textbooks are in Italian:- G. Cicchitelli, Statsitica: Principi e Metodi, Pearson Education, 3/Eds

- Sebastiani M. R. (2015) “Esercitazioni di statistica”. Esculapio Editore, 3° edizione.

For English speaking students a textbook is:

Introductory Statistics for Business and Economics by Thomas H. Wonnacott and Ronald J. Wonnacott

John Wiley & Sons Inc; International 2 Revised ed

Notes and handout (in Italian) are available at the web page of the course.

Type of delivery of the course

6 hours per week of classes by the lecturer and 2 hours per week of tutorials.Attendance

frequency is recommended but not mandatoryType of evaluation

Examination procedure (NOT in health emergency COVID-19 period) - The written test lasts two hours. - The written test consists of: exercises, multiple choice questions, theoretical questions. - It is not allowed to introduce any notes and/or books in the exam room. Students are allowed to bring only the tables of probability distributions available on the course website. - The written test is passed if the student obtains sufficiency both in the practical and in the theoretical part. - A candidate who has passed the written test may request that the grade obtained in the written exam be recorded, unless an oral exam is requested by the lecturer. - A candidate who has passed the written test may request to perform the oral exam. - Students who are awarded a "insufficient" grade in the written test are not allowed to take the exam in the next exam session.Canali

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 A - D FORTUNA FRANCESCA

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 E - O Ballin Marco

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 P - Z VICARD PAOLA

Programme

This graduate level course covers the following topics:An overview of statistics

Data description: scales of measurement, how to describe data graphically for categorical data (pie chart, bar chart) and graphs for quantitative variables (histogram, pie chart)

How to describe data by summary statistics: measures of central tendency, variability and skewness.

How to create a box plot

How probability and probability distributions are involved in statistics

How binomial distributions are involved in statistics

The role that normal distributions play in statistics

Simple random sampling and sampling distribution of sample mean, central limit theorem, normal approximation to the binomial

Differentiation between a population and a sample, how to use a statistic to estimate a population parameter, confidence interval and its interpretation, inferences of population mean and proportion

Confidence interval for population mean, Sample size needed for estimating the population mean with a specified confidence level and specified width of the interval

Hypothesis testing: in terms of how to set up Null and Alternative hypotheses, understanding Type I and Type II errors, performing a statistical test for the population mean

p-value, how to compute it and how to use it

Inferences about μ with σ unknown: the t-distribution and the assumptions required to check in order to use it

How to compare the mean of two populations for independent samples: using pooled variances t-test versus separate variances t-test

How to compare the mean of two populations for paired data

How to compare two population proportions

Using contingency table and the Chi-square test of independence

Understanding concepts related to linear regression models including, least squares method, correlation, inferences about the parameters in the linear regression model

Core Documentation

The course the course is taught in Italian so textbooks are in Italian:- G. Cicchitelli, Statsitica: Principi e Metodi, Pearson Education, 3/Eds

- Sebastiani M. R. (2015) “Esercitazioni di statistica”. Esculapio Editore, 3° edizione.

For English speaking students a textbook is:

Introductory Statistics for Business and Economics by Thomas H. Wonnacott and Ronald J. Wonnacott

John Wiley & Sons Inc; International 2 Revised ed

Notes and handout (in Italian) are available at the web page of the course.

Type of delivery of the course

6 hours per week of classes by the lecturer and 2 hours per week of tutorials.Attendance

frequency is recommended but not mandatoryType of evaluation

Examination procedure (NOT in health emergency COVID-19 period) - The written test lasts two hours. - The written test consists of: exercises, multiple choice questions, theoretical questions. - It is not allowed to introduce any notes and/or books in the exam room. Students are allowed to bring only the tables of probability distributions available on the course website. - The written test is passed if the student obtains sufficiency both in the practical and in the theoretical part. - A candidate who has passed the written test may request that the grade obtained in the written exam be recorded, unless an oral exam is requested by the lecturer. - A candidate who has passed the written test may request to perform the oral exam. - Students who are awarded a "insufficient" grade in the written test are not allowed to take the exam in the next exam session.Canali

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 A - D FORTUNA FRANCESCA

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 E - O Ballin Marco

Mutuazione: 21210113 STATISTICA in Economia e gestione aziendale L-18 P - Z VICARD PAOLA

Programme

This graduate level course covers the following topics:An overview of statistics

Data description: scales of measurement, how to describe data graphically for categorical data (pie chart, bar chart) and graphs for quantitative variables (histogram, pie chart)

How to describe data by summary statistics: measures of central tendency, variability and skewness.

How to create a box plot

How probability and probability distributions are involved in statistics

How binomial distributions are involved in statistics

The role that normal distributions play in statistics

Simple random sampling and sampling distribution of sample mean, central limit theorem, normal approximation to the binomial

Differentiation between a population and a sample, how to use a statistic to estimate a population parameter, confidence interval and its interpretation, inferences of population mean and proportion

Confidence interval for population mean, Sample size needed for estimating the population mean with a specified confidence level and specified width of the interval

Hypothesis testing: in terms of how to set up Null and Alternative hypotheses, understanding Type I and Type II errors, performing a statistical test for the population mean

p-value, how to compute it and how to use it

Inferences about μ with σ unknown: the t-distribution and the assumptions required to check in order to use it

How to compare the mean of two populations for independent samples: using pooled variances t-test versus separate variances t-test

How to compare the mean of two populations for paired data

How to compare two population proportions

Using contingency table and the Chi-square test of independence

Understanding concepts related to linear regression models including, least squares method, correlation, inferences about the parameters in the linear regression model

Core Documentation

The course the course is taught in Italian so textbooks are in Italian:- G. Cicchitelli, Statsitica: Principi e Metodi, Pearson Education, 3/Eds

- Sebastiani M. R. (2015) “Esercitazioni di statistica”. Esculapio Editore, 3° edizione.

For English speaking students a textbook is:

Introductory Statistics for Business and Economics by Thomas H. Wonnacott and Ronald J. Wonnacott

John Wiley & Sons Inc; International 2 Revised ed

Notes and handout (in Italian) are available at the web page of the course.

Type of delivery of the course

6 hours per week of classes by the lecturer and 2 hours per week of tutorials.Attendance

frequency is recommended but not mandatoryType of evaluation

Examination procedure (NOT in health emergency COVID-19 period) - The written test lasts two hours. - The written test consists of: exercises, multiple choice questions, theoretical questions. - It is not allowed to introduce any notes and/or books in the exam room. Students are allowed to bring only the tables of probability distributions available on the course website. - The written test is passed if the student obtains sufficiency both in the practical and in the theoretical part. - A candidate who has passed the written test may request that the grade obtained in the written exam be recorded, unless an oral exam is requested by the lecturer. - A candidate who has passed the written test may request to perform the oral exam. - Students who are awarded a "insufficient" grade in the written test are not allowed to take the exam in the next exam session.