Activity  Credits  Period  Academic staff  Timetable 

lezione  7  First semester 
Annamaria Guolo


esercitazione  2  First semester 
Annamaria Guolo

The course is intended to provide an introduction to Descriptive Statistics, Probability and Inferential Statistics. The course is for students
in Economic and Business Sciences. 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 illustrate 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 realizing statistical studies of economical and social phenomena. The course is also intended to provide instruments for a critical analysis of the methodology.
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 more variables; conditional distributions; conditional mean and variance;
scatterplots; covariance; variance of the sum of more variables; chisquared index of dependence; index of association C.
Least squares metodo; scatterplot; leastsquares regression line; Pearson’s coefficient of linear correlation r; CauchySchwarz inequality; Rsquare coefficiente; 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 (2008), Statistica: principi e metodi, Pearson Education, Milano.
Additional material will be distributed by the teacher
Other books
 D. PICCOLO (1998), Statistica, Seconda edizione 2000. Il Mulino, Bologna.
 D. PICCOLO (2010), Statistica per le decisioni, Nuova edizione. Il Mulino, Bologna.
 D. OLIVIERI (2003), Temi svolti di statistica, Seconda edizione aggiornata al 2002. Cedam, Padova.
 D. OLIVIERI (2005), Istituzioni di statistica. Cedam, Padova.
– D. OLIVIERI (2007), Fondamenti di statistica, Terza edizione. Cedam, Padova.
 E. BATTISTINI (2004), Probabilità e statistica: un approccio interattivo con Excel. McGrawHill, Milano.
 S. BERNSTEIN, R. BERNSTEIN (2003), Statistica descrittiva, Collana Schaum's, numero 109. McGrawHill, Milano.
 S. BERNSTEIN, R. BERNSTEIN (2003), Calcolo delle probabilita', Collana Schaum's, numero 110. McGrawHill, Milano.
 S. BERNSTEIN, R. BERNSTEIN (2003), Statistica inferenziale, Collana Schaum's, numero 111. McGrawHill, Milano.
 F. P. BORAZZO, P. PERCHINUNNO (2007), Analisi statistiche con Excel. Pearson, Education.
 M. R. MIDDLETON (2004), Analisi statistica con Excel. Apogeo.
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.
The exercise lessons are necessary to better understand the course. The material which will be used during the exercise lessons will be made available online.
The course is considered completed if the candidate has passed both the two written tests. Students must receive at least 15 out of 30 in both written tests.
Activity  Author  Title  Publisher  Year  ISBN  Note 
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.  McGrawHill, 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  McGrawHill, Milano  2004  
lezione  D. Piccolo  Statistica  Il Mulino  2000  8815075968  
lezione  S. Bernstein, R. Bernstein  Statistica descrittiva, Collana Schaum's, numero 109  McGrawHill, Milano  2003  
lezione  S. Bernstein, R. Bernstein  Statistica inferenziale, Collana Schaum's, numero 111.  McGrawHill, 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  Libro di testo  
lezione  D. OLIVIERI  Temi svolti di statistica (20012007)  Cedam, Padova  2008 
Outcomes Exams  Outcomes Percentages  Average  Standard Deviation 
Positive  34.95%  23  2 
Rejected  27.43%  
Absent  21.23%  
Ritirati  16.37%  
Canceled   
18  19  20  21  22  23  24  25  26  27  28  29  30  30 e Lode 
12.6%  5.0%  12.6%  8.8%  7.5%  15.1%  12.6%  8.8%  6.3%  3.7%  2.5%  3.7%  0.0%  0.0% 
Data from AA 2011/2012 based on 226 students. I valori in percentuale sono arrotondati al numero intero più vicino.