Statistics

A.Y. 2015/2016
9
Max ECTS
80
Overall hours
SSD
SECS-S/01
Language
Italian
Learning objectives
Il corso ha come obiettivo principale quello di illustrare i principi del ragionamento statistico necessari alla lettura dei fenomeni economici, politici e sociali. Partendo dagli elementi della teoria statistica il corso mira a rendere gli studenti in grado di comprendere e redarre analisi e reportistica di tipo statistico in piena autonomia.
Expected learning outcomes
Undefined
Course syllabus and organization

A-K

Responsible
Lesson period
Third trimester
ATTENDING STUDENTS
Course syllabus
Statistics: definition and fields of application.
Classification of statistical variables and reference population.
How to summarize statistical phenomena.
Tabular representation and statistical visualization.
Location indexes: mode, median, quantiles and arithmetic mean.
Scale indexes: range, variance, standard deviation, coefficient of variation.
Random events, probability and random variables.
Distribution function, expected value and variance of random variables.
Bernoulli, Binomial and Gaussian random variables.
Statistical tables.
Random sampling and random sample.
Point estimation.
Interval estimation.
Hypotheses testing.
Independence and Chi-squared testing.
Regression model: deterministic and inferential approach.
Multidimensional regression analysis.
ANOVA: Analysis of Variance.
NON-ATTENDING STUDENTS
Course syllabus
Statistics: definition and fields of application.
Classification of statistical variables and reference population.
How to summarize statistical phenomena.
Tabular representation and statistical visualization.
Location indexes: mode, median, quantiles and arithmetic mean.
Scale indexes: range, variance, standard deviation, coefficient of variation.
Random events, probability and random variables.
Distribution function, expected value and variance of random variables.
Bernoulli, Binomial and Gaussian random variables.
Statistical tables.
Random sampling and random sample.
Point estimation.
Interval estimation.
Hypotheses testing.
Independence and Chi-squared testing.
Regression model: deterministic and inferential approach.
Multidimensional regression analysis.
ANOVA: Analysis of Variance.
SECS-S/01 - STATISTICS - University credits: 9
Practicals: 40 hours
Lessons: 40 hours

L-Z

Lesson period
Third trimester
ATTENDING STUDENTS
Course syllabus
Statistics: definition and fields of application.
Classification of statistical variables and reference population.
How to summarize statistical phenomena.
Tabular representation and statistical visualization.
Location indexes: mode, median, quantiles and arithmetic mean.
Scale indexes: range, variance, standard deviation, coefficient of variation.
Random events, probability and random variables.
Distribution function, expected value and variance of random variables.
Bernoulli, Binomial and Gaussian random variables.
Statistical tables.
Random sampling and random sample.
Point estimation.
Interval estimation.
Hypotheses testing.
Independence and Chi-squared testing.
Regression model: deterministic and inferential approach.
Multidimensional regression analysis.
ANOVA: Analysis of Variance.
NON-ATTENDING STUDENTS
Course syllabus
Statistics: definition and fields of application.
Classification of statistical variables and reference population.
How to summarize statistical phenomena.
Tabular representation and statistical visualization.
Location indexes: mode, median, quantiles and arithmetic mean.
Scale indexes: range, variance, standard deviation, coefficient of variation.
Random events, probability and random variables.
Distribution function, expected value and variance of random variables.
Bernoulli, Binomial and Gaussian random variables.
Statistical tables.
Random sampling and random sample.
Point estimation.
Interval estimation.
Hypotheses testing.
Independence and Chi-squared testing.
Regression model: deterministic and inferential approach.
Multidimensional regression analysis.
ANOVA: Analysis of Variance.
SECS-S/01 - STATISTICS - University credits: 9
Practicals: 40 hours
Lessons: 40 hours
Professor: Bodini Antonella
Professor(s)