Studying at the University of Verona
Academic calendar
Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.
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 

primo semestre  Sep 23, 2013  Jan 10, 2014 
secondo semestre  Feb 17, 2014  May 30, 2014 
Session  From  To 

Sessione Prove Parziali  Primo Semestre  Nov 11, 2013  Nov 15, 2013 
Sessione Invernale Esami  Jan 13, 2014  Feb 15, 2014 
Sessione Prove Parziali  Secondo semestre  Apr 14, 2014  Apr 18, 2014 
Sessione Estiva esami  Jun 3, 2014  Jul 12, 2014 
Sessione Autunnale Esami  Aug 25, 2014  Sep 10, 2014 
Session  From  To 

Sessione di Lauree  Novembre  Nov 7, 2013  Nov 8, 2013 
Sessione di Lauree  Aprile  Vicenza  Apr 11, 2014  Apr 11, 2014 
Sessione di Lauree  Settembre  Sep 11, 2014  Sep 12, 2014 
Period  From  To 

Vacanze Natalizie  Dec 23, 2013  Jan 4, 2014 
Vacanze Estive  Aug 11, 2014  Aug 23, 2014 
Exam calendar
The exam roll calls are centrally administered by the operational unit
Economics Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment
sistema ESSE3
.
If you forget your password to the online services, please contact the technical office in your Faculty or to the service credential recovery
.
Academic staff
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 enrolment year.
Teachings  Credits  TAF  SSD 

Teachings  Credits  TAF  SSD 

Teachings  Credits  TAF  SSD 

1° Anno
Teachings  Credits  TAF  SSD 

2° Anno
Teachings  Credits  TAF  SSD 

3° Anno
Teachings  Credits  TAF  SSD 

Teachings  Credits  TAF  SSD 

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 (2013/2014)
Teaching code
4S00121
Credits
9
Scientific Disciplinary Sector (SSD)
SECSS/01  STATISTICS
Language of instruction
Italian
The teaching is organized as follows:
lezione
Credits
6
Period
primo semestre
Academic staff
Manuela Cattelan
esercitazione
Credits
3
Period
primo semestre
Academic staff
Giovanna Caramia
Learning outcomes
The course is intended to provide an introduction to Descriptive Statistics, Probability, and Inferential Statistics. The course is for students in Economics and Business Administration. 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. The statistical techniques that will be illustrated in the course are intended to provide instruments useful for description and interpretation of collective data. From a practical point of view, methods are necessary for interpreting official statistics and for performing statistical studies of economical and social phenomena. The course is also intended to provide instruments for a critical analysis of the methodology.
Program
a) Descriptive Statistics
Introduction; data collection; population, sample, statistical unit; survey; questionnaire; data classification; data types; statistical sources.
Statistical data; matrix data; types of frequency distributions; graphical representations.
Cumulative frequency; cumulative distribution function.
Measures of central tendency; arithmetic mean, geometric mean and harmonic mean; properties of the arithmetic mean; quadratic and cubic mean; mood; median; quartiles and percentiles.
Variability and measures of dispersion; variance and standard deviation; coefficient of variation.
Moments; indices of skewness and kurtosis.
Fixed and varying base indices; Laspayres and Paasche indices.
Double and multivariate distributions; frequency tables; covariance; variance of the sum of two or more than two variables; conditional distributions; conditional mean and variance; scatterplots; covariance; variance of the sum of two or more than two variables; chisquared index of dependence; index of association C.
Least squares metod; scatterplot; leastsquares regression line; Pearson’s coefficient of linear correlation r; CauchySchwarz inequality; Rsquare coefficient; regression and residual deviance.
b) Probability
Deterministic and probabilistic models; events, probability spaces and event trees.
Combinatorics.
Definition and probability; probability function; theorems; 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; continuous uniform distribution; normal distribution; multivariate discrete random variables; joint probability distribution; marginal and conditional probability distributions; independence; expectation and covariance; correlation coefficient; conditional expectation and variance.
Linear combinations of random variables; average of random variables; sum of independent normals.
Weak law of large numbers.
Central limit theorem.
c) Inferential Statistics
Introduction; sample and sampling variability; sample statistics and sampling distributions.
Point estimates and estimators; unbiasedness; efficiency; consistency; estimate of the mean, of a proportion, and of a variance.
Confidence intervals; intervals for a mean, for a proportion (large samples) and for a variance.
Hypothesis testing; first and secondtype errors and power of a test; 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.
Book
 G. CICCHITELLI (2012), Statistica: principi e metodi, Second edition, Pearson Italia, Milano.
Other books
 D. PICCOLO (1998), Statistica, Second edition 2000. Il Mulino, Bologna.
 D. PICCOLO (2010), Statistica per le decisioni, New edition. Il Mulino, Bologna.
 M. R. MIDDLETON (2004), Analisi statistica con Excel. Apogeo.
 E. BATTISTINI (2004), Probabilità e statistica: un approccio interattivo con Excel. McGrawHill, Milano.
 F. P. BORAZZO, P. PERCHINUNNO (2007), Analisi statistiche con Excel. Pearson, Education.
Details
The course consists of a series of lectures (56 hours) and of twelve exercise classes (24 hours). The working language is Italian.
It is assumed that students have a basic knowledge of mathematics, in particular about limits, derivation methods, and integration techniques.
The material which will be used during the exercise lessons will be made available online (elearning).
Examination Methods
The examination consists of two separate tests, one with a series of questions, and one with some exercises. The total examination will take about 2 hours and 30 minutes.
The examination is considered successful if the candidate has passed both the two written tests: students must receive at least 16 out of 30 in both written tests, and the final average score has to be at least equal to 18/30. Final scores equal to 16/30 or 17/30 allow students to face an oral and optional examination.
No books or personal material are allowed during the examination. Only the calculating machine is allowed. Material to use for evaluating the quantiles or the probabilities of statistical distributions will be made available by the teacher during the examination. The students are required to attend the examination with the identity card or a similar document.
In midNovember 2013, students have the opportunity to take an intermediate examination on the first part of the program. The intermediate examination (about 1 hour) consists in a series of questions. The final positive score will be considered during the two Winter examination sessions. The final score of the intermediate examination can provide an increase of at most three points of the (positive) result of the written examination of the Winter sessions.
Tipologia di Attività formativa D e F
years  Teachings  TAF  Teacher 

3°  Job Club  Teoria e tecniche della ricerca attiva del lavoro  2021/2022  D 
Paola Signori
(Coordinatore)

years  Teachings  TAF  Teacher 

3°  AN INTRODUCTION TO LATEX TYPESETTING SYSTEM  D 
Alberto Peretti
(Coordinatore)

Career prospects
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