First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Agricultural Sciences and Veterinary Medicine
FOOD SCIENCE AND TECHNOLOGY
Course unit
APPLIED STATISTICS
AGO2042490, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course First cycle degree in
FOOD SCIENCE AND TECHNOLOGY (Ord. 2008)
AG0057, Degree course structure A.Y. 2008/09, A.Y. 2017/18
N0
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Number of ECTS credits allocated 4.0
Type of assessment Evaluation
Course unit English denomination APPLIED STATISTICS
Website of the academic structure http://www.agrariamedicinaveterinaria.unipd.it
Department of reference Department of Agronomy, Food, Natural Resources, Animals and the Environment
Mandatory attendance No
Language of instruction Italian
Branch LEGNARO (PD)
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit CANNOT be chosen as Optional Course unit

Lecturers
Teacher in charge CRISTINA SARTORI AGR/17

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Other -- -- 4.0

Mode of delivery (when and how)
Period First semester
Year 2nd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Practice 1.0 8 17.0 No turn
Lecture 3.0 24 51.0 No turn

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

Syllabus
Prerequisites: None
Target skills and knowledge: The course will introduce the student of the First cycle degree in Food science and technology to the main statistic technics applied in field studies and experimental designs of various disciplines, focusing on both theoretical background and on the practical application.
The course aim to provide effective knowledge for:
- data management;
- clear and effective data representation;
- critical reading of datasets;
- decision making process;
- planning of experimental design.
Examination methods: The exam will consist in short or multiple choice questions
Assessment criteria: Student preparation will be evaluated on the basis of his knowledge of theoretical principles and application of statistical methodologies considered in the course
Course unit contents: Introduction to statistics: descriptive statistics and inference. Population, sample and statistic unit.
Descriptive statistics: variables, central tendency indicators and measures of dispersions; frequencies, graphical representation of data.
Basics of probability and probability distributions: the Normal (Gaussian) Distribution.
From descriptive statistics to inference: experimental design, sampling, choice of a proper hypothesis test.
Confidence intervals and hypothesis testing. Variances and mean comparisons for one sample, two samples, paired data.
One-way analysis of variance (ANOVA) for comparing 2 or more populations.
Categorical data hypothesis testing using Chi-square statistics; contingency tables.
Correlation and linear regression.
Planned learning activities and teaching methods: Frontal lessons and exercitations using slides and material previously provided to students.
Additional notes about suggested reading: Slides and material provided by teacher, including examples of exercises with solutions
Textbooks (and optional supplementary readings)
  • Fowler, J. Cohen, L., Statistica per Ornitologi e Naturalisti. Roma: Franco Muzzio Editore, 2002. Cerca nel catalogo
  • Levine, D.M., Krehbiel T. C., Berenson M.L., Statistica. Milano: Pearson, 2010. Cerca nel catalogo
  • Triola, M.M., Triola, M.F, Fondamenti di Statistica per le discipline biomediche. Milano: Pearson, 2013.