Statistics and managementModule Statistics for experimental and technological research
Academic Year 2025/2026 - Teacher: SALVATORE GIUSTINIANIExpected Learning Outcomes
The student will acquire the statistical knowledge necessary to analyze data and prepare reports
Course Structure
interactive
frontal lessons with exploration of practical examples
Detailed Course Content
Technical correlations and methodologies; Sampling methodologies and techniques for the extrapolation of a Significant sample, Number of a sample and errors that are made in analyzing a sample; Point estimates, confidence interval; Sime for large samples; small samples and Frequency, Analysis of the data obtained on the basis of acceptable errors; Hypothesis tests for large samples and frequency; Chi Square; Anova; some methods for non-parametric statistics. Concrete examples of data analysis in the health sector, drafting of statistical reports.
Textbook Information
Notes prepared by the teacher
Recommended book: Exploratory and Inferential Methods; M. Fraire, A. Rizzi; Carocci Editore
Course Planning
| Subjects | Text References | |
|---|---|---|
| 1 | Correlation of methods and techniques | slide 1 |
| 2 | Sampling and sample size methods and techniques | slide 2 |
| 3 | point estimates and confidence intervals | slide 3 |
| 4 | Hypothesis Testing for Large, Small, and Frequency Samples | slide 4 |
| 5 | Chi quadro | slide 5 |
| 6 | ANOVA | slide 6 |
| 7 | methods and techniques for non-parametric samples | slide 7 |
Learning Assessment
Learning Assessment Procedures
Typical exercises on the topics of the program, with evaluation of the results obtained
Examples of frequently asked questions and / or exercises
We want to determine whether therapy A is more effective than therapy B given the following data: