First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Agricultural Sciences and Veterinary Medicine
Course unit
AVP6077217, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
AG0065, Degree course structure A.Y. 2017/18, A.Y. 2017/18
bring this page
with you
Number of ECTS credits allocated 8.0
Type of assessment Mark
Course unit English denomination APPLIED BIOSTATISTICS
Website of the academic structure
Department of reference Department of Agronomy, Food, Natural Resources, Animals and the Environment
E-Learning website
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge MAURO PENASA AGR/17

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses AGR/17 General Techniques for Zoology and Genetic Improvement 8.0

Mode of delivery (when and how)
Period First semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
Hours of
Individual study
Practice 3.0 24 51.0 No turn
Lecture 5.0 40 85.0 No turn

Start of activities 02/10/2017
End of activities 19/01/2018

Examination board
Examination board not defined

Prerequisites: Knowledge of basic mathematical, biological and zootechnical concepts would be useful for attending with more benefit the course.
Target skills and knowledge: The course is designed to provide the participant with an insight into basic concepts of statistics and the most important methodologies applied to biological sciences, with emphasis on animal sciences. On successful completion of the course, the student will have gained an appreciation of the underlying concepts of the statistical techniques used to analyze experimental data, and will be able to summarize effectively large amount of information, to apply appropriate statistical tests to verify experimental hypotheses and to interpret the results.
Examination methods: Assessment of the course will be based on a written final exam, with exercises and questions.
Assessment criteria: Assessment of the knowledge of the student will be based on the understanding of the topics presented during classes, on the ability of applying the appropriate statistical techniques to solve practical problems from real data, and on the ability of interpreting the results of data analysis in a critical way.
Course unit contents: CREDIT no. 1. Introduction to biostatistics, descriptive statistics and exercises.
CREDIT no. 2. Probability, random variables and their distributions, and exercises.
CREDIT no. 3. Population and sample, and exercises.
CREDIT no. 4. Estimation of parameters and exercises.
CREDIT no. 5. Hypothesis testing and exercises.
CREDIT no. 6. Analysis of variance and exercises.
CREDIT no. 7. Covariance, correlation, simple linear regression, and exercises.
CREDIT no. 8. Chi-square distribution, analysis of frequencies, and exercises.
Planned learning activities and teaching methods: The course consists of lectures (40 h) and exercises (24 h). Each topic presented during classes is followed by solving of practical examples to ascertain the understanding of the student. An insight into the use of statistical software packages to analyze the data and present the results is provided.
Additional notes about suggested reading: Study material (slides) will be available on-line at the following link:

Office hours: from Monday to Friday, at the Department of Agronomy, Food, Natural resources, Animals and Environment, Agripolis, Viale dell'Università 16, 35020 Legnaro (PD)
Textbooks (and optional supplementary readings)
  • Soliani L., Statistica applicata alla ricerca biologica e ambientale. Parma: Uni.Nova, 2003. Cerca nel catalogo
  • Picci L., Introduzione alla statistica. Bologna: CLUEB, 1998. Cerca nel catalogo
  • Petrie A. e Watson P., Statistics for Veterinary and Animal Science. --: Blackwell Publishing, 2006. Cerca nel catalogo
  • Kaps M. e Lamberson W. R., Biostatistics for animal science. UK: CABI Publishing, 2004. Cerca nel catalogo