First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Agricultural Sciences and Veterinary Medicine
Course unit
AVP6077217, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
AG0065, Degree course structure A.Y. 2017/18, A.Y. 2019/20
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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
Educational activities in elective or integrative disciplines AGR/17 General Techniques for Zoology and Genetic Improvement 8.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

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

Start of activities 30/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Board From To Members of the board
3  Commissione a.a. 2019/20 01/12/2019 30/11/2020 PENASA MAURO (Presidente)
DE MARCHI MASSIMO (Membro Effettivo)
2 Commissione a.a. 2018/19 01/12/2018 30/11/2019 PENASA MAURO (Presidente)
DE MARCHI MASSIMO (Membro Effettivo)

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:
1) will have gained an appreciation of the underlying concepts of the statistical techniques used to analyze experimental data;
2) will be able to apply appropriate statistical tests to verify experimental hypotheses;
3) will be able to interpret the results of statistical analysis.
Examination methods: Assessment of the course will be based on a written final exam, with questions (short answers) and exercises.

Questions will be useful to:
1) assess if the student has actually gained knowledge on the basic theoretical concepts of statistical methodology;
2) assess the ability of the student to use the appropriate terminology for biostatistics.

Exercises will provide information on:
1) the ability of the student to apply the appropriate statistical tools to solve the problems;
2) the ability of the student to interpret the results of the statistical analysis from a biological point of view.
Assessment criteria: Assessment of the knowledge of the student will be based on:
1) the understanding of the topics presented during classes;
2) the ability of using the appropriate terminology;
3) the ability of applying the appropriate statistical techniques to solve practical problems from real data;
4) 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 in PowerPoint (40 h) and exercises (24 h). Each topic presented during classes is followed by solving of practical examples to ascertain student's understanding of the topic. An insight into the use of statistical software packages to analyze the data will be provided.
Additional notes about suggested reading: Study material will be available on-line at the following link: To download the material, the student needs to login (username and password provided by the University of Padova upon enrollment), and insert a specific keyword provided by the lecturer during class.

For students regularly attending the course, the study material for the preparation of the final exam is composed of the material presented during classes (slides, exercises) completed with additional explanations/notes provided by the lecturer.

For those students who cannot attend the course (e.g. student workers), information on the study material for the preparation of the final exam will be provided at:
Textbooks (and optional supplementary readings)
  • Picci L., Introduzione alla statistica. Bologna: CLUEB, 1998. Testo facoltativo per approfondimento - The book is optional Cerca nel catalogo
  • Petrie A. e Watson P., Statistics for Veterinary and Animal Science. --: Blackwell Publishing, 2006. Testo facoltativo per approfondimento - The book is optional Cerca nel catalogo
  • Kaps M. e Lamberson W. R., Biostatistics for animal science. UK: CABI Publishing, 2004. Testo facoltativo per approfondimento - The book is optional Cerca nel catalogo
  • Conte G., Dimauro C., Macciotta N.P.P. (a cura di), Elementi di statistica di base per le scienze zootecniche. Gubbio: EFG – Edizioni Fotolibri Gubbio, 2018. Testo facoltativo per approfondimento - The book is optional Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)