Scheda insegnamento

Anno Accademico 2022/2023


  • Descriptive statistics: measures of central tendency, measures of dispersions and graphical displays
  • Random variables and probability distributions, the Normal Distribution, the Standard Normal Distribution, the Student’s T distribution
  • Populations and samples, point estimation and confidence intervals for the population mean for the case of known and unknown variance
  • Hypothesis testing for the mean and for the difference between two means


  • Rosner, B. (2016) “Fundamentals of Biostatistics”, Cengage.
  • Agresti, A. (2018) "Statistical Methods for the Social Sciences", 5th edition. Pearson
  • Plichta Kellar, S.B. and Kelvin, E.A. (2013) "Munro's statistical methods for health care research”. Wolters Kluwer Health/Lippincott Williams & Wilkins.

Metodi didattici

During the course theoretical and practical sessions will be held. During practical sessions empirical knowledge of the proposed methods will be reached through real-world case studies and exercises performed using Microsoft Excel and Stata.

Stata is available in all the computer labs in the Campus. Moreover, a Campus licence of Stata is available to all students enrolled in the course.

The UNIBO e-learning platform (VIRTUALE) will be used to share teaching materials and to assign periodical home assignments to students.

Modalità di verifica e valutazione dell'apprendimento

The course has a required cumulative final examination. You must take, and pass, the final examination to receive a passing grade in the course. The final exam will be a written test (computer based). Students are required to enrol using Almaesami.

The test consists in three sections:

1) multiple choice/short-answers section (35% of Exam Score, 6 questions);

2) free response section requiring interpretatin of statistical outputs (20% of Exam Score, 2 questions);

3) practical section with Excel and Stata (45% of Exam Score, 5 questions). The test duration is 75 minutes.

(Please notice that the test structure might change; any modifications will be communicated in class).


The grading system is on a 0-30 range, the following grid applies:

  • <18 failed
  • 18-23 sufficient
  • 24-27 good
  • 28-30 very good
  • 30 cum laude honors

Strumenti a supporto della didattica

The following tools will be available on the UNIBO e-learning platform (VIRTUALE)

  • Slides/lecture notes: summarising theoretical concepts shown in class
  • Do files, lecture notes and Stata datasets: with these tools students are able to follow the practical sessions step by step and to completely replicate them at home.
  • Exercises and Solutions which will be regularly proposed to students
  • Miscellanea: exercises, focus notes, sample tests will be uploaded when needed

Orario di ricevimento

Consulta il sito web di Sara Capacci