NATURAL AND ENVIRONMENTAL SCIENCES

Professor: Lamberto SOLIANI
Academic discipline: Statistica (SECS-S/01)
Field: Attività formative affini o integrative
Type of training activity: Related/supplementary

42 hours
of face-to-face activities

6 credits

hub: PARMA

course unit
in ITALIAN

lectures timetable unavailable

exam calls

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..)

Prerequisites

- - -

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

Full programme

- - -

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

Assessment methods and criteria

Oral examination

Other information

- - -

2030 agenda goals for sustainable development

- - -

Contacts

Toll-free number

800 904 084

Student registry office

T.+39 0521 905116
E.segreteria.scienze@unipr.it

Quality assurance office

Education manager

Office E. didattica.scvsa@unipr .it

Education Manager:
Claudia Caselli
T. +39 0521 905613
Manager E. claudia.caselli@unipr .it

STATISTICS cod. 00914

Learning objectives

Prerequisites

Course unit content

Full programme

Bibliography

Teaching methods

Assessment methods and criteria

Other information

2030 agenda goals for sustainable development

Contacts

Toll-free number

Student registry office

Quality assurance office

Course president

Faculty advisor

Career guidance delegate

Erasmus delegates

Quality assurance manager

Internships

Tutor students

STATISTICS
cod. 00914