Academic Year 2018/2019
- Docente: Cinzia Franceschini
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Law and Economics (cod. 9221)
Learning outcomes
At the end of the course, the student will have a good knowledge of basic concepts of vectors, matrices and statistical methods to conduct statistical analysis on real dataset. The course blends theory and practice for a better understanding of the subject.
Course contents
Mathematics:
Vectors: definitions, linear combinations, norm, inner product, orthogonality, linear independence, linear spaces.
Matrices: definitions, linear combinations, transpose, inverse, product, determinant.
Statistics:
Descriptive statistics and introduction to statistical distributions.
Location measures: mean, median, mode.
Graphical representation: frequency distribution, bar graph, histograms.
Scatter measures: the variance.
Two-way tables: joint, marginal and conditional distributions. Association: independence, chi-square statistic.
Concordance: covariance, correlation.
Readings/Bibliography
Thomas H. Wonnacott, Ronald J. Wonnacott , Introductory Statistics, 5th Edition, Wiley
Slides of the course
Teaching methods
Frontal Lectures
Assessment methods
No final test, this is a crash course!
Teaching tools
Blackboard, slides.
Office hours
See the website of Cinzia Franceschini