IGIENE E STATISTICA 1
Module Statistics

Academic Year 2025/2026 - Teacher: GIULIANA FAVARA

Expected Learning Outcomes

The course aims to provide students with the basic concepts to develop statistical and methodological skills applied to the analysis of biomedical phenomena under investigation. Students will acquire knowledge of the main tools for collecting, measuring, and processing biomedical data. Furthermore, students will gain the ability to independently explore advanced topics in medical statistics and their related applications.

Course Structure

The course includes classroom lectures with continuous encouragement for interaction with students, as well as in-class and laboratory exercises to develop the ability to apply the knowledge gained during the course. In the event that teaching is conducted in a blended or remote mode, necessary variations may be introduced compared to what has been previously stated in order to adhere to the planned program as outlined in the syllabus.

Required Prerequisites

No prerequisites required

Attendance of Lessons

Attendance is mandatory. 

Detailed Course Content

Basic concepts and objectives of statistics. Data collection methods. Types of biological variables. Data tabulation and graphical representation.

Descriptive statistics. Measures of central tendency (mean, mode, median, quartiles, percentiles). Measures of variability: range, deviation, variance, standard deviation, coefficient of variation.

Bivariate analysis and causal relationships between variables.

The concept of covariance. Pearson's correlation coefficient: values, limits, and properties. 

Concepts of causality and dependence. Dependency analysis. Regression analysis.

Probability calculation. The concept of an event. Operations on events. Venn diagrams. Conditional probability. Application of probability in the biomedical field: Bayes' theorem.

Inferential statistics. Hypothesis testing, statistical significance, P-value. Parametric and non-parametric tests for independent and dependent data. Statistical tests for quantitative variables: Z-test, T-test, ANOVA. Statistical tests for categorical variables: Chi-squared test.

Textbook Information

BIOSTATISTICA, M. Pagano - K. Gauvreau, Editore: Idelson-Gnocchi

Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.

Course Planning

 SubjectsText References
1Data collection methods. Types of biological variables. Data tabulation and graphical representations.Chapters 2 and 22. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
2Indices of central tendency and variability. Chapter 3. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
3The concept of covariance.Chapter 17. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
4Concepts of causality and dependence. Chapters 18 and 20. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
5Probability calculation.Chapter 6. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
6Inferential statistics. Chapter 10. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
7Statistical tests for quantitative variables. Chapter 15. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.
8Statistical tests for categorical variables. Chapter 11. Specially prepared material will be distributed during the course of the lectures and made available on the Studium website.

Learning Assessment

Learning Assessment Procedures

Written (multiple chioces) and oral exams. 

The highest grade will be assigned to the student who has demonstrated mastery of the topics, ability to apply knowledge, communication skills and mastery of the disciplinary vocabulary.

Verification of learning can also be carried out by an online platform, if needed.

 

Examples of frequently asked questions and / or exercises

Which of the following statements correctly describes the concept of a population or “universe”?

A) A statistical population consists of all elements that share certain characteristics, that is, the set of all individuals or objects to which the phenomenon under study refers

B) A population is a set of elements that represent only a part of the whole, that is, a subset of units

C) A statistical population is always smaller than a sample

D) None of the above 


The median can be calculated:

A) For quantitative variables and ordinal qualitative variables

B) Only for quantitative variables

C) For ordinal and nominal qualitative variables

D) None of the above

VERSIONE IN ITALIANO