30588 - Elements Of Statistics

Academic Year 2022/2023

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in International Development and Cooperation (cod. 8890)

Learning outcomes

The course aims to offer students the basic tools for a quantitative reading of economic and social phenomena At the end of the course the students know fundamental concepts of statistics useful for the analysis of simple datasets. In particular, students: -will acquire knowledge of the basic concepts of statistical methodology, both as regards the collection phase and that of data analysis and will be able to carry on a data analysis through the use of a personal computer.

Course contents

DESCRIPTIVE STATISTICS TOOLS: Types of variables. Statistical units, population and sample. Data collection and organization. Data matrices and frequency distributions. Graphical representations. Mean values: mode, median, quartiles, arithmetic mean. Main variability measures and concentration. Statistical indices. Introduction to bivariate analysis. The relationship among two variables: association. The relationship among two variables: covariance and linear correlation. The simple linear regression model.

PROBABILITY: random events and sample space. Axioms of probability. Conditional probability. Density and probability functions of a random variable; expected value and variance of a random variable. Bernoulli and Binomial distributions. Normal distribution and t-Student distribution.

STATISTICAL INFERENCE: statistical tests for mean and frequency

Readings/Bibliography

S. Borra, A. Di Ciaccio. Statistica – metodologie per le scienze economiche e sociali, terza edizione, McGraw-Hill, Milano, 2014

Lessons on IOL

Teaching methods

Lessons, exercises and case study

Assessment methods

Written examination consisting in exercises, multiple-choice items and open-ended items. During written examinations, students have the possibility to bring a a paper with main formulas  download from VIRTUALE.

The exam will last one hour.

There will be a partial exam after the end of the first part of the course with the same modalities. t is possible to take the second partial test only if in the first a grade higher than 16/32 is obtained.

The examination rules apply for both students attending and not attending classes.

Teaching tools

slides, exercises and data

There will practical acitivities ttah will be recorded

Office hours

See the website of Stefania Mignani

SDGs

Quality education Decent work and economic growth Reduced inequalities

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.