Academic year2016/17
CourseMANAGEMENT AND LAW OF LOGISTICS SYSTEMS
Code015PP
Credits9
PeriodSemester 2
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| STATISTICA | SECS-S/01 | LEZIONI | 63 | |
Programma non disponibile nella lingua selezionata
Knowledge
The student who successfully completes the course is expected to acquire:
statistical concepts and methods for the collection, presentation, analysis, and interpretation of data;
some knowledge of descriptive statistics and simple linear regression.
some knowledge of probability and random variables;
some knowledge to build confidence intervals and to do hypothesis testing.
Assessment criteria of knowledge
In the written exam (2 hours), the student must demonstrate his/her knowledge of the course material and to organise an effective and correctly written reply.
With the Laboratory Report the student must demonstrate the ability to use the statistics tools and organise an effective exposition of the results.
During the oral exam the student must be able to demonstrate his/her knowledge of the course material and be able to discuss the reading matter thoughtfully and with propriety of expression.
Methods:
- Final oral exam
- Final written exam
- Laboratory report
Further information:
Final written exam 50%, Laboratory report 30%, final oral exam 20%
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- preparation of oral/written report
- individual study
- group work
- Laboratory work
Attendance: Not mandatory
Teaching methods:
- Lectures
- laboratory
- project work
Syllabus
Descriptive statistics (mean, median, standard error, coefficient of variation)
relationship between variables (chi2, coefficient of correlation)
Linear regression model
Probability and random variables (bernoulli, Poisson, binomial, Gaussian and t-student distributions)
Confidence intervals Hypothesis testing (for mean and proportion)
Bibliography
S. Borra e A. Di Ciaccio, Statistica, metodologie per le scienze economiche e sociali, McGraw-Hill, 2008
Recommended reading includes the following works
Newbold, Carlson, Thorne, Statistica, Pearsons, Prentice Hall, 2007.
T.H. Wonnacott e R.J. Wonnacott, Introduzione alla Statistica, Franco Angeli, 2002.
Materiale didattico del corso Laboratorio di Statistica, CLAMED Anno Accademico 2012–2013. Autore: Prof. Paola Bortot
Work placement
During the course the students learn the use of R (statistics programme).
Updated: 14/11/2016 17:27
