Statistics

A.Y. 2016/2017
9
Max ECTS
60
Overall hours
SSD
SECS-S/01
Language
Italian
Learning objectives
Undefined
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
Lessons: 60 hours

L-Z

Responsible
Lesson period
Third trimester
SECS-S/01 - STATISTICS - University credits: 9
Lessons: 60 hours
Professor(s)
Reception:
Office hours are on Monday 10.30-12.30 and 2.30-3.30. Office hours in presence are suspended but they are carried out via Teams, by sending a chat message.
Room 33, 3rd floor DEMM