Module Details

Statistical methods for experimental studies

MS1829

Course
Statistical methods for experimental studies
Code
MS1829
Academic Year
2023/2024
Curriculum Year
2021/2022
Degree Programme
BIOTECHNOLOGY
Curriculum
A002 - BIOTECNOLOGICO MEDICO
Course coordinator
Lecturers
Credits
3
Lecture Hours
24
Scientific Disciplinary Sector (SSD)
MED/01 - Medical Statistics
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
3
Teaching period
Secondo Semestre
Campus
NOVARA
Teaching language
Italian
Course Contents
Basic notions of statistics: descriptive and inferential statistics, confidence intervals and main hypothesis tests, correlation, regression and evaluation of the operational characteristics of diagnostic tests.
Reference Texts
Whitlock MC, Schluter D.
Analisi statistica dei dati biologici.
Zanichelli, 2010.
Learning Outcomes
At the end of the course, students will be able to describe from a statistical point of view of the data obtained from an experiment based on the type of variable measured and to identify and carry out the correct statistical test based on the biological hypothesis that guided the experiment carried out.
Prerequisites
Basic knowledge of mathematics
Teaching Methods
Lectures and exercises useful for the practical application of the concepts acquired during the lectures
Additional Information
The material used in class and exercises will be made available on the DIR platform
Assessment Methods
The exam consists of a written test consisting of 4/5 exercises concerning the topics covered during the frontal lessons and simple theoretical questions.
Each exercise consists of several points. Each point is assigned a weight (between 0.5 and 4.5) based on the difficulty of the request, the sum of the weights will be equal to 30.
Each point is assigned a score of 1 if it was done correctly, 0 if completely wrong, values ​​between 0 and 1 based on the type of error committed.
The grade will be given by the sum of the weight multiplied by the score of each sub-point of the exercise. The exam will be passed if the sum is equal to 18.
To take the exam, students will have a calculator, tables of distributions and a formulary at their disposal.
Detailed Syllabus
Descriptive statistics (frequencies, position and variability indexes)
Basics of probability and normal distribution
Confidence intervals and hypothesis test for one mean
Hypothesis test for proportions
Chi-squared test
T Test for independents and paired tests
ANOVA test for the comparison of more than two independent means
Operating characteristics of a diagnostic test
Expected Learning Outcomes
Knowledge:
At the end of the course the students will know the main descriptive and inferential statistical analysis techniques
Skills:
Students will be able to describe the results deriving from a biological experiment and carry out the correct statistical test based on the biological hypothesis that guided the experiment carried out. They will also be able to understand the results reported in a scientific article regarding regression.
Transversal skills:
Students will be able to understand the statistical analysis and the results reported in a scientific article in order to verify what is already known in the literature about a specific biological question of interest and compare the results obtained with those available in the scientific literature.
Last update:09-09-2026 00:14:31