Learning objectives
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 unit content
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
Bibliography
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
