Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
1st semester | Oct 1, 2009 | Dec 19, 2009 |
2nd semester | Feb 22, 2010 | May 22, 2010 |
Corsi intensivi estivi (sede di Canazei) | Jul 11, 2010 | Aug 7, 2010 |
Session | From | To |
---|---|---|
Sessione invernale | Jan 7, 2010 | Feb 20, 2010 |
Sessione estiva | May 24, 2010 | Jul 10, 2010 |
Sessione autunnale | Sep 1, 2010 | Sep 30, 2010 |
Sessione straordinaria | Dec 1, 2010 | Dec 20, 2010 |
Period | From | To |
---|---|---|
Immacolata concezione | Dec 8, 2009 | Dec 8, 2009 |
Vacanze Natalizie | Dec 21, 2009 | Jan 6, 2010 |
Vacanze Pasquali | Apr 2, 2010 | Apr 6, 2010 |
Festa dei Lavoratori | May 1, 2010 | May 1, 2010 |
Santo Patrono | May 21, 2010 | May 21, 2010 |
Festa dellla Repubblica | Jun 2, 2010 | Jun 2, 2010 |
Vacanze estive | Aug 9, 2010 | Aug 15, 2010 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Academic staff
Borrione Marco
Lassini Ugo
![Foto, October 1, 2010](https://docs.univr.it/documenti//Persona/foto/foto987693.jpg)
Lionzo Andrea
Roventini Andrea
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2010/2011
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2011/2012
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Statistics (2010/2011)
Teaching code
4S00121
Credits
9
Language
Italian
Also offered in courses:
- Statistics of the course Bachelor's degree in Economics and Business (Vicenza)
- Statistics - lezione of the course Bachelor's degree in Economics and Business (Vicenza)
- Statistics - esercitazione of the course Bachelor's degree in Economics and Business (Vicenza)
Scientific Disciplinary Sector (SSD)
SECS-S/01 - STATISTICS
The teaching is organized as follows:
lezione
esercitazione
Learning outcomes
The course provides to students in economic and business sciences an introduction to probability and to descriptive and inferential statistics.
Prerequisite to the course is the mastering of a few basic mathematical concepts such as limit, derivative and integration at the level of an undergraduate first year introductory course in calculus.
Program
Descriptive Statistics: data collection and classification; data types; frequency distributions; histograms and charts; measures of central tendency; arithmetic mean, geometric mean and harmonic mean; median; quartiles and percentiles; fixed and varying base indices; Laspayres and Paasche indices; variability and measures of dispersion; variance and standard deviation; coefficient of variation; moments; Pearson’s and Fisher’s indices of skewness and kurtosis; multivariate distributions; scatterplots; covariance; variance of the sum of more variables; method of least squares; least-squares regression line; Pearson’s coefficient of linear correlation r; Cauchy-Schwarz inequality; R-square coefficiente; deviance residual and deviance explained; multivariate frequency distributions; conditional distributions; measures of association; chi-squared index of dependence; index of association C; Simpson’s paradox.
Probability: events, probability spaces and event trees; combinatorics; conditional probability; independence; Bayes theorem; discrete and continuous random variables; distribution function; expectation and variance; Markov and Tchebycheff inequalities; discrete uniform distribution; Bernoulli distribution; binomial distribution; Poisson distribution; geometric distribution; continuous uniform distribution; normal distribution; exponential distribution; multivariate discrete random variables; joint probability distribution; marginal and conditional probability distributions; independence; covariance; correlation coefficient; linear combinations of random variables; average of random variables; sum of normal random variables; weak law of large numbers; Bernoulli’s law of large numbers for relative frequencies; central limit theorem.
Inferential Statistics: sample statistics and sampling distributions; chi-square distribution; Student-t distribution; Snedecors-F distribution; point estimates and estimators; unbiasedness; efficiency; consistency; estimate of the mean, of a proportion and of a variance; confidence intervals for a mean for a proportion (large samples) and for a variance; hypothesis testing; one and two tails tests for a mean, for a proportion (large samples) and for a variance; hypothesis testing for differences in two means, two proportions (large samples) and two variances.
The course consists of a series of lectures (56 hours) and of twelve exercise classes (24 hours).
All classes are essential to a proper understanding of the topics of the course.
The working language is Italian.
Bibliography
Activity | Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|---|
lezione | M. R. Middleton | Analisi statistica con Excel | Apogeo, Milano | 2004 | ||
lezione | F. P. Borazzo, P. Perchinunno | Analisi statistiche con Excel | Pearson, Education | 2007 | ||
lezione | S. Bernstein, R. Bernstein | Calcolo delle Probabilita', Collana Schaum's, numero 110. | McGraw-Hill, Milano | 2003 | ||
lezione | D. OLIVIERI | Fondamenti di statistica (Edizione 3) | Cedam, Padova | 2007 | ||
lezione | D. OLIVIERI | Istituzioni di statistica | CEDAM | 2005 | ||
lezione | E. Battistini | Probabilità e statistica: un approccio interattivo con Excel | McGraw-Hill, Milano | 2004 | ||
lezione | D. Piccolo | Statistica | Il Mulino | 2000 | 8815075968 | |
lezione | S. Bernstein, R. Bernstein | Statistica descrittiva, Collana Schaum's, numero 109 | McGraw-Hill, Milano | 2003 | ||
lezione | S. Bernstein, R. Bernstein | Statistica inferenziale, Collana Schaum's, numero 111. | McGraw-Hill, Milano | 2003 | ||
lezione | D. Piccolo | Statistica per le decisioni | Il Mulino | 2004 | 8815097708 | |
lezione | G. Cicchitelli | Statistica: principi e metodi (Edizione 2) | Pearson Italia, Milano | 2012 | ||
lezione | D. OLIVIERI | Temi svolti di statistica (2001-2007) | Cedam, Padova | 2008 |
Examination Methods
For the official examination both written and oral sessions are mandatory.
The course is considered completed if the candidate has done the written tests and passed the oral exam.
Students that has received at least 15 out of 30 in both the written exams are allowed to attend the oral exam.
Teaching materials e documents
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01) Informazioni sul corso (it, 55 KB, 05/11/10)
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.