Scheda programma d'esame
STATISTICS
NICOLA SALVATI
Academic year2016/17
CourseBUSINESS STUDIES
Code033PP
Credits9
PeriodSemester 2
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
STATISTICASECS-S/01LEZIONI63
NICOLA SALVATI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
Students are expected to acquire: some knowloedge of descriptive statistics, such as central values, measure of variances, frequency tables, linear interpolation, correlation and other measures of relation; some knowledge of probability with particular focus on the most common random variables; basic knowledge of the statistical inference, in particular point and interval estimation and test of hypothesis.
Assessment criteria of knowledge
In the written exam (2 hours, 6 exercises), the student must demonstrate his/her knowledge of the course material and to be able to solve exercises of descriptive and inferential statistics.

Methods:

  • Final oral exam

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • participation in seminar
  • individual study
  • Practical

Attendance: Advised

Teaching methods:

  • Lectures
  • Seminar

Syllabus
Frequency tables, averages and weighted averages (arithmetic, geometric, harmonic), median, quantiles, variance and standard error, Pearson correlation, Chi^2 and V-Cramer indexes, decomposition of the variance; Introduction to probability and random variables such as uniform, Bernoulli, Binomial, Gaussian, t-Student and chi-square; Introduction to sampling designs and sampling distribution of the mean (and related theorems) under simple random sample; Point and interval estimation of the mean; Test of hypotesys on the mean.
Bibliography
Borra, S. e A. DiCiaccio, "Statistica", McGraw-Hill, Milano Recommended reading includes the following works: Pelosi, M. e T. M. Sandifer, "Introduzione alla Statistica", McGraw-Hill, Milano, 2004; Domenico Piccolo, “Statistica”, Il Mulino, Bologna 1998; Giuseppe Cicchitelli, “Statistica. Principi e metodi”, Pearson education, 2008; F. Giusti, “Introduzione alla Statistica”, Loescher, 1995 (for descriptive statistics); T.H. Wonnacott e R.J. Wonnacott, “Introduzione alla statistica”, FrancoAngeli, 1995 (for inference);
Updated: 14/11/2016 17:27