Ateneo - UPO

The Program is ideally divided into three parts: a first part of descriptive statistics to describe the observed characters; a second part inherent in the methods for analyzing the relationships between several characters; a third part concerning statistical inference, parameter estimation and hypothesis testing.

Statistica per Aspes, A. Martini (download in Moodle)

Reading and interpreting statistical information; calculating descriptive indices, making estimates, verifying simple statistical hypotheses.

Nothing

Classroom lectures on theory and practice.

The student can use written sources (lecture notes, notes, manuals, etc.). Multimedia sources are prohibited (tablets, smartphones, etc.)

Written exam with computational and theoretical exercises.

1) variables and frequency distribution; 2) data average and weighted data average;
3) median, percentiles and cumulative distributions;
4) variance and standard deviation;
5) the standardization of a variable and its uses;
6) the Gaussian normal distribution.
7) joint frequencies distributions;
8) graphs to represent the relationship between two variables;
9) the association between categorical variables;
10) covariance and correlation;
11-12) regression;
13) the TCL and the sample distributions;
14) confidence intervals;
15) hypothesis test;
16) testing the difference between averages;
17) the chi-square test;
18) theoretical hints on multiple regression

The student should be able to: read and assess statistical information; calculate descriptive indices, make estimates, verify simple statistical hypotheses.