- Docente: Francesco Bergamaschi
- Credits: 6
- SSD: SECS-S/03
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Innovation and Organization of Culture and the Arts (cod. 0902)
Learning outcomes
Student is expected to get a basic knowledge and precise framework about statistics and statistical techniques concerning the analysis of data bases. In particular the student is expected to learn: - probability s tools - measures of variance - index numbers.
Course contents
Descriptive statistics
Probability
Discrete and continuous probability distributions
Mean, median, mode, central value
Frequency Analysis
Bar graphs, histograms, scatter plots, box plots
Standard deviation, variance
Kurtosis, skewness
Correlation and covariance
Hypothesis tests
Basics of linear regressions, p-values, residualsReadings/Bibliography
Doane, Seward / Applied Statistics in Business and Economics, Mc Graw Hill, 2018 (6th edition)
Teaching methods
Theoretical lectures in class, practical applications in laboratory with the statistical software R
Assessment methods
Written exam, consisting in a test with closed theory questions and an application to be run at the PC with the statistical software R
Teaching tools
Blackboard, slides, PC
Office hours
See the website of Francesco Bergamaschi