Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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Professional Laboratories (1st year)
2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Professional Laboratories (1st year)
Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Epidemiology and statistics - medical statistics and epidemiology (2024/2025)
Teaching code
4S01896
Teacher
Credits
2
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
1° SEMESTRE LM PROF. SAN. 24-25 dal Oct 1, 2024 al Mar 15, 2025.
Courses Single
Not Authorized
Program
Probability distribution
Normal distribution
Standard normal distribution table for computing the area under the curve
Inferential statistic
Confidence intervals
Confidence intervals with small samples: the t distribution
Introduction to the hypothesis tests
Hypothesis test of a single mean
Paired sample t-test
One-tailed and two-tailed hypothesis test
Comparison of two means
Type I and Type II errors, power of test
Correlation: Pearson correlation coefficient.
The regression analysis.
Bibliography
Didactic methods
Frontal lessons with teaching material available in Moodle.
Learning assessment procedures
The final evaluation of the profit will be made through a written test with exercises; if this test is passed, then an oral interview will be carried out.
Evaluation criteria
The evaluation will be on the student's ability to interpret tables and texts from the scientific literature and to carry out the statistical analyzes explained in the course.
Exam language
Italiano