- Docente: Maroussa Zagoraiou
- Credits: 7
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Forli
- Corso: First cycle degree programme (L) in Economics and business (cod. 9202)
Learning outcomes
The course provides students with such statistical techniques as graphical tools and summary measures for single and multiple variables, estimation, and hypothesis testing for Gaussian and Binomial populations. At the end of the course students have (a) acquired knowledge of the main statistical techniques for exploratory data analysis and the fundamental concepts of probability and inference from random samples and (b) developed skills to solve elementary probability problems will be developed.
Course contents
Part 1 – EXPLORATORY DATA ANALYSIS
Introduction. The data matrix. Type of variables. Frequency tables. Cumulative frequency distribution. Graphical representations. Summary statistics of location (mean, median, mode) and dispersion. Linear transformations. Two-way tables: joint, marginal and conditional frequencies. Association of two quantitative variables, covariance and correlation. Linear regression.
Part 2 – PROBABILITY
Random events, uncertainty, axioms of Probability, conditional probability and Bayes theorem. Discrete and continuous random variables, Central Limit theorem.
Part 3 - STATISTICAL INFERENCE
Statistical models, population and sampling. Simple random samples and parametric inference. Parameters estimation and confidence intervals. Testing statistical hypotheses: normal and binomial models.
Readings/Bibliography
D.R. Anderson, D.J. Sweeney, T.A. Williams, J.D. Camm, and J.J. Cochran (2015). Statistics for Business and Economics. Cengage Learning.
Teaching methods
Traditional lectures and homework.
Assessment methods
Written examination via Zoom. This examination method will be valid for the entire period of the health emergency. In some cases, after the written exam, the lecturer may require an oral exam as a further tool of assessment of the student's preparation.
Grades:
<18 fail
18-23 pass
24-26 satisfactory
27-28 good
29-30 very good
30 cum laude excellent
Teaching tools
Notes, exercises and slides.
Office hours
See the website of Maroussa Zagoraiou