Ateneo - UPO

The course illustrates some statistical methods that may be of interest for the training of a lawyer. Topics of descriptive statistics, probability calculus and the problem of decisions linked to sample statistics are dealt with.

The textbooks will be indicated at the beginning of the course.

The main goal of the course is not focused on the mere execution of algorithm methods, but rather on understanding the results obtained and the potential in the tools presented.

Basic algebra.

Lectures.

Attendance is not mandatory but is strongly recommended

Written and oral examination. The written test want to verify the basic skills on the tools introduced. The oral one will allow to clarify the grasp of the discipline and the technical language and to evaluate specific skills.
Please note that after the third attempt to sit the exam in the course of a calendar year, the registration block is automatically applied.

Population, sample, variable, modality.
Frequency distributions and their representations.
Summary indicators: averages and measures of variability.
Double entry tables and conditional distributions.
Linear regression function: calculation of coefficients and measurement of the goodness of fit.
Elements of probability calculus.
Conditional probabilities and Bayes formula.
Samples and estimates (point and interval).
Testing of statistical hypotheses: I and II type errors, level and power.
Decision rules and p-value.

Students will have to know the basic elements of descriptive and inferential statistics, to be able to correctly interpret the results obtained and to know the contexts in which they can fruitfully apply the illustrated techniques.