Statistics I


At the end of the course, students will acquire:

  1. The ability to recognize different types of variables and calculate the most appropriate descriptive statistics.
  2. The ability to perform parameter estimates and hypothesis tests.
  3. The ability to test simple statistical hypotheses.
  4. The ability to execute basic commands in the R programming language.


The course provides students with the foundations of descriptive and inferential statistics through both theoretical principles and practical application to research problems in the psychological domain.

Particular emphasis is placed on data entry, data description, and their graphical representation, from both theoretical and practical perspectives.

  • Descriptive Statistics
  • Measures of central tendency
  • Measures of position
  • Measures of dispersion
  • Measures of shape
  • Correlations/Associations
  • Linear regression
  • Pearson correlation
  • Point-biserial correlation
  • Spearman correlation
  • Contingency tables
  • Introduction to inferential statistics
  • Introduction to probability calculations
  • Probability distributions
  • Point and interval estimation of parameters
  • Hypothesis testing
  • Binomial test
  • Chi-square test
  • Independent samples t-test
  • Mann-Whitney U test


Evaluation method:
The achievement of the course objectives will be assessed through the resolution of exercises during practical sessions and a final written examination.

The evaluation will consist of a written test comprising both theoretical questions and exercises in inferential statistics.


Welkowitz, J., Cohen, B., Ewen, R. (2013). Statistica per le scienze del comportamento. Maggioli Editore.