Course Unit Page
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Teacher Carlo Trivisano
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Credits 8
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SSD SECS-S/01
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Teaching Mode Traditional lectures
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Language Italian
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Campus of Rimini
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Degree Programme First cycle degree programme (L) in Finance, Insurance and Business (cod. 8872)
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.


Academic Year 2021/2022
Learning outcomes
This course provide a practical introduction to techniques for data management. The main learning goal is to familiarize students with tools for choosing between synthetic measures, graphics and measures of relationships between two variables.Moreover, the student will be able to apply reduction techniques and to deal with classification procedures.
Course contents
- Introduction. Statistical surveys. Descriptive statistics vs
inferential statistics. Types of statistical variables. Levels of
measurements. Data matrices. The summation operator.
- Frequency distributions and cumulative frequency distributions.
The empirical distribution function.
- Measures of central tendency and their properties. Measures of
variability and their properties. Measures of distribution shape.
Boxplots.
- Bivariate frequency distributions. Marginal and conditional
distributions. Conditional mean and conditional variance. Variance
decomposition. Statistical independence.
- Scatterplots. Covariance and correlation. Linear
regression.
- Matrices for multivariate statistical analysis.
- Clustering techniques: agglomerative hierarchical and
partitioning methods.
- Principal components analysis.
Readings/Bibliography
D. Freedman, R. Pisani, R. Purves, Statistics, W. W. Norton, 1997.
J.I. Galbraith, I. Moustaki, D. J. Bartholomew, F.
Steele, The analysis and interpretation of multivariate
data for social scientists, 2002, Chapman & Hall
Some additional readings will be found at https://iol.unibo.it/.
Teaching methods
Each topic covered in the lectures will be followed by exercises in practical classes.
Assessment methods
Written test and oral examination
Office hours
See the website of Carlo Trivisano