00914 - Statistics (O-Z)

Learning outcomes

The course aims to offer students the basic tools for a quantitative reading of collective phenomena.

At the end of the course the students know fundamental concepts of statistics useful for the analysis of simple datasets. In particular, the main learning goal is to familiarize students with tools for choosing between synthetic measures, graphics, measures of relationships between two variables and with the fundamental tools of probability and statistics.

Course contents

MODULE 1

 Introduction. Statistical surveys. Descriptive statistics vs inferential statistics. Types of statistical variables. Levels of measurements.

Frequency distributions. Graphical representations. Statistical indices. 

 Mean values. Measures of variability.

 Bivariate frequency distributions. Marginal and conditional distributions. Statistical independence.

Covariance and correlation. Linear regression.

 

MODULE 2

Random events, uncertainty, axioms of Probability, conditional probability and Bayes theorem. Discrete and continuous random variables, Central Limit theorem.

Statistical models, population and sampling. Simple random samples and parametric inference. Parameters estimation and confidence intervals. Testing statistical hypotheses: normal and binomial models.

Readings/Bibliography

P. Newbold, W.L. Carlson e B. Thorne (2021) Statistica (IX ed.), Pearson-Prentice Hall.

Teaching methods

Each topic covered in the lectures will be followed by exercises in practical classes.

Assessment methods

Written test and oral examination

Grades:

<18 fail

18-23 pass

24-26 satisfactory

27-28 good

29-30 very good

30 e lode excellent

Office hours

See the website of Carlo Trivisano

See the website of Alessandro Baldi Antognini