- Docente: Monia Lupparelli
- Credits: 10
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Business Administration (cod. 8871)
Learning outcomes
Basic elements of descriptive statistics. Basic elements of probability and statistical inference.
Course contents
PART 1 - DESCRIPTIVE STATISTICS
Frequency distributions and graphical tools. Measures of location dispersion and asymmetry. Bivariate descriptive analysis. Linear dependence: correlation and linear regression.
PART 2 - PROBABILITY
Events. Axioms of probability. Conditional probability. Independent events. Bayes theorem. Random variables and probability distributions. Uniform, Bernoulli, Binomial, Gaussian, t-Student, chi-square distributions. Independent random variables. Linear combination of random variables. Sum of variables. Central Limit Theorem.
PART 3 - STATISTICAL INFERENCE
Random sampling. Statistical models. Statistics and sampling distributions. Elements of point estimation. Confidence intervals for the mean, proportion, variance and difference between means. Hypothesis testing for the mean, proportion, variance and difference between means.
PARTE 4 - CASE STUDY
Case study analysis developed by group of students - results are illustrated and discussed in the class by means of oral presentations.
Readings/Bibliography
P. Newbold, W.L. Carlson e B. Thorne (2007) Statistica, Pearson-Prentice Hall (versione italiana).
Further suggested books:
S. Borra e A. Di Ciaccio (2008) Statistica. Metodologie per le Scienze Economiche e Sociali (II ed.), McGraw-Hill.
G. Cicchitelli (2008) Statistica - Principi e Metodi, Pearson Education
Teaching methods
Frontal lectures
Assessment methods
Written exam and oral exam (optional).
Teaching tools
Course notes downloadable from the lecturer's web page.
http://www2.stat.unibo.it/lupparelli/
Links to further information
http://www2.stat.unibo.it/lupparelli/
Office hours
See the website of Monia Lupparelli