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 - - -

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

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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

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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

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2030 agenda goals for sustainable development

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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