Statistics and Analysis of Results
Introduction to statistical concepts and methods, with emphasis on exploratory analysis of univariate and bivariate data, sampling and experimental designs, basic probability models, one-sample hypothesis testing and estimation, and two-sample comparative studies. The internships will be carried out through the SPSS programme and PhD students may engage in this activity as soon as they are admitted to the programme.
Person Responsible or teaching and and Assessment
- A) Descriptive data analysis.
- B) Statistical hypothesis testing.
- C) Analysis of variance.
- D) Regression analysis.
- Descriptive statistics on SPSS:
- frequency distributions,
- graphical representations
- statistical parameters.
- Inferential statistics on SPSS:
- contingency tables,
- regression
- correlation.
- Descriptive statistics on SPSS:
The student must upload the statistical analysis of a case study to the task on the virtual campus. The head of the activity will evaluate the submitted work. If the evaluation is favourable, the head will forward the information to EIDUCAM, which will issue a certificate of successful completion. Campus documents and the certificate must be uploaded to Laurea for validation by the tutor.
The student must upload the documentation accrediting this recognition to Laurea, so that it can be validated by the tutor.