INTRODUCTION TO PROBABILITY FOR ECONOMICS

Anno accademico
2023/2024 Programmi anni precedenti
Titolo corso in inglese
INTRODUCTION TO PROBABILITY FOR ECONOMICS
Codice insegnamento
LT9029 (AF:445090 AR:251618)
Lingua di insegnamento
Inglese
Modalità
In presenza
Crediti formativi universitari
6
Livello laurea
Laurea
Settore scientifico disciplinare
SECS-S/01
Periodo
1° Periodo
Anno corso
1
Spazio Moodle
Link allo spazio del corso
This course focuses on data analysis, probability theory, and statistical inference using a concept-driven approach.
It aims to provide undergraduate students with practical concepts widely applied in economics and social sciences. These concepts are essential for professionals and researchers who need to collect and analyze data to make informed decisions or predictions.
The course keeps the technical use of mathematics at a basic level to introduce students to probabilistic reasoning and statistical methods.
The course intends to introduce students to the probabilistic and statistical tools used in analyzing and interpreting empirical evidence in economics and social sciences. The goal is to enable students to effectively interact with researchers and practitioners in these fields.
Students are expected to have a basic knowledge of mathematics at a middle school level.
1. Statistics: scopes and methods. Data description: graphical and numerical summaries. Data collection.
2. Probability, probability distributions, sampling distributions.
3. Statistical inference: point and interval estimation.
4. Statistical inference: testing statistical hypotheses.
Agresti A., Franklin C., and Klingenberg B. (2017): Statistics. The art and science of learning from data. Pearson. Chapters 1-9.
The final assessment consists of a written test followed by an oral interview, provided the written test has been successfully passed. The written test comprises multiple-choice questions. Examples of multiple-choice questions are available on the Ca' Foscari Moodle e-learning platform.
scritto e orale
The course will be presented in a lecture-style format.
Students are encouraged to register for the course on the Moodle platform (moodle.unive.it), where they can find supplementary materials.
Programma definitivo.
Data ultima modifica programma: 14/07/2023