1. Home
  2. Education
  3. Degree programme courses
  4. Principles of Statistics for Cognitive Sciences

Principles of Statistics for Cognitive Sciences

A.Y. 2023/2024
3
Max ECTS
24
Overall hours
Language
Italian
Learning objectives
Undefined
Expected learning outcomes
Undefined

Lesson period: First semester

Lessons timetable

Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato

Exams calendar

Single course

This course can be attended as a single course.

Take a single course
Course syllabus and organization

Single session

Responsible
Bonomi Alice
Course syllabus
Introduction to the world of statistics
Data Collection and Database Management
Possible errors in databases: simulation in Excel
First 'steps' to SPSS.
Concepts of Mean, Mode, Median and Variance
Graphical representation of frequency or data distributions.
Univariate analysis with SPSS
Correlation between two variables
Linear regression
Bivariate analysis with SPSS
Statistical & p-value tests
Tests of normality
T-tests, nonparametric tests, Chi-square tests.
Statistical tests with SPSS
Relative risk, Odds ratio
Prevalence, incidence
Sensitivity, Specificity, Roc curve
Logistic regression and ROC curve with SPSS
Survival analysis
Survival analysis with SPSS
Multivariate Analysis
Prerequisites for admission
Basic knowledge of the concepts of mathematics
Teaching methods
Teaching will involve face-to-face lessons in the IT laboratory with exercises using SPSS software.
Teaching Resources
The slides presented in class will be sufficient for the course.
Assessment methods and Criteria
Attainment of the 3 CFUs is contingent on the ability to process data in SPSS. There will be a test consisting of the exposition of a paper.
- University credits: 3
Lessons: 24 hours
Professor: Bonomi Alice
Shifts:
Turno
Professor: Bonomi Alice
Professor(s)