93264 - INTRODUCTORY STATISTICS

Anno Accademico 2023/2024

  • Docente: Cinzia Franceschini
  • Crediti formativi: 3
  • SSD: SECS-S/01
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Bologna
  • Corso: Laurea Magistrale in Economics and Public Policy (cod. 5945)

    Valido anche per Laurea Magistrale in Applied Economics and Markets (cod. 5969)

Conoscenze e abilità da conseguire

This is an optional introductory course in statistics for newly-admitted LMEPP students whose statistics background is not strong enough for the LM level. Upon admission, the admissions committee may recommend students to take this course. At the end of the course, students master the minimal statistics background that is needed to succeed in the more advanced statistics and econometrics courses offered at LMEPP.

Contenuti

Part I

1 Summation operator and descriptive statistics: definition and description.

2 Linear Functions: definitions and properties.

3 Proportions and percentages: a brief introduction.

Part II

1 Random variables and their probability distributions.

2 Joint distributions, conditional distributions and independence.

3 Features of probability distributions.

4 Features of joint and conditional distributions.

5 The normal and related distributions: the normal distribution, the standard normal distribution, the chi-square distribution, the t distribution.

Part III

1 Populations, Parameters and Random sampling.

2 Finite sample properties of estimators.

3 Asymptotic or large sample properties of estimators : consistency, unbiasedness.

4 General approaches to parameter estimation: least squares estimation.

5 Interval estimation and confidence intervals.

6 Hypothesis testing.

Testi/Bibliografia

Jeffrey, M. Wooldridge, "Introductory Econometrics, A modern approach", Cengage Learning. (Appendix A, Appendix B, Appendix C)

Metodi didattici

On-line lectures.

Modalità di verifica e valutazione dell'apprendimento

There will be no final exam, but students are required to attend at least 70% of classes.

Strumenti a supporto della didattica

Slides, Virtuale's web pages.

Orario di ricevimento

Consulta il sito web di Cinzia Franceschini