STATISTICS AND IT (INFORMATION SCIENCE AND TECHNOLOGY
Learning outcomes of the course unit
Knowledge of the concepts and methods of univariate and bivariate statistics, parametric and non parametric, useful for research and profession; use of international software (PAST..)
Course contents summary
PARAMETRIC STATISTICS
1 - Types of scale and measurements
2 - Normal distribution, other distributions
3 - Comparisons between rates and probability
4 - Alpha and beta errors; a priori and a posteriori power
5 - Student t test
6 - Analysis of variance (ANOVA)
7 - Analysis of variance with two or more criteria
8 - Descriptive statistics for bivariate distributions
NON PARAMETRIC STATISTICS
1 - Descriptive statistics for non parametric methods
2 - Comparisons among proportions or ratios
3 - Non parametric methods for one sample
4 - Non parametric methods for two dependent samples
5 - Non parametric methods for two independent samples
6 - A priori and a posteriori multiple comparisons
7 - Non parametric methods for k samples
8 - Non parametric correlation and linear regression
Recommended readings
Soliani Lamberto (2008) I test non parametrici più citati nelle discipline scientifiche, UNI.NOVA, Parma. (pagg. VII + 828); ISBN: 978-88-6319-022-9; www.uninova.net
Soliani Lamberto(2008) Statistica applicata. UNI.NOVA, Parma. (pagg. X + 694);
ISBN:978-88-6319-041-0; www.uninova.net
UNINOVA Parma, gruppo Pegaso Libreria;Via Cavedani, 7
Sokal R. R. and F. J. Rohlf (1995). Biometry, 3rd Edition. W. H. Freeman & Co., New York.
Zar Jerrold (2010). Biostatistical Analysis, Fifth Edition. Pearson Education International
EPA 530/R-09-007, March 2009, Statistical Analysis of Groundwater Monitoring Data at RCRA Facilities. Unified Guidance, Environmental Protection Agency, United States (pp. 888)
EM 1110-1-4014, 31 Jan 2008, Environmental Quality - ENVIRONMENTAL STATISTICS
Teaching methods
Frontal lectures, use international software
Assessment methods and criteria
Oral examination
