Objectives of Programme's Learning Outcomes

• Provide clear, accurate, and reasoned information
• Write bibliographic references and results of statistical analysis in a standardised way (according to APA standards)
• Structure data gathered during the analysis of an intervention request

Learning Outcomes of UE

At the end of the instruction, the students will be able to identify and apply the fundamental principles of data analysis, according to an appropriate perspective for the human sciences and this, with descriptive and inferential points of view.

UE Content: description and pedagogical relevance

Descriptive statistics: setting different data (tabular forms, graphical forms) ; statistical indices (mean, median, mode, standard deviation, ... ; parametric correlation (r of Bravais-Pearson) descriptive aspects... Probabilities and theorical distributions (normal and binomial) Inferential statistics (interval determination and statistical tests)

Prior Experience

Not applicable

Type(s) and mode(s) of Q1 UE assessment

• Written examination - Face-to-face

Q1 UE Assessment Comments

Not applicable

Type(s) and mode(s) of Q1 UE resit assessment (BAB1)

• Written examination - Face-to-face

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type(s) and mode(s) of Q3 UE assessment

• Written examination - Face-to-face

Q3 UE Assessment Comments

Not applicable