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84555 - Statistics

Course Unit Page

Academic Year 2021/2022

Learning outcomes

At the end of the course unit, students know the most important aspects of statistics from the methodological and operational point of view. In particular, students are capable to: - synthesize information in statistical distributions and graphs; - select and calculate the most consistent average values and measures of variability in the light of specific problems concerning given phenomena; - measure the intensity of the relationship between characters, even where they are of different nature.

Course contents

First section - Exploratory statistics

Classification of statistical variables. Data representation. Statistical rates and ratios. Mean values. Variability and concentration. Linear regression and correlation.

Second section - Elements of probability

Events and logical operators. Combinatorics. Basic probability. Conditional probability and independence. Bayes Formula. Binomial random variable. Gaussian distribution.

Third section - Statistical Inference

Population and sample. Statistics and estimators. Confidence intervals for a frequency. Performing a statistical test. Comparison of two frequencies and two mean values.

Readings/Bibliography

M.Brizzi, Introduzione alla probabilità e all'inferenza statistica. Casa editrice: libreriauniversitaria.it, 2014 (in Italian language)

Teaching methods

Classroom and online lessons. 

Assessment methods

The final exam will consist in an oral interview of approximately 20-25 minuti, referring to all of the course topics, even with numerical examples.

- Evaluation scale:

30 e lode (A+) =excellent

29 - 30 (A) = very good

27 - 28 (B+) = good

25 - 26 (B) = fairly good

22 - 24 (C) = more than sufficient

20 - 21 (D) = sufficient

18 - 19 (E) = just sufficient

Teaching tools

Teaching sheets in English language (in Power Point) will be provided on the web  Virtuale.unibo platform.

Office hours

See the website of Maurizio Brizzi