- UAB Microcredential
- Code: 5194/101
- 101th edition
- Modality: Face to face
- Credits: 2 ECTS
- Start date: 15/12/2025
- Finish date: 04/02/2026
- Places: 25
- Orientation: Professional
- Price: 300 €
-
Special price 90 €
Group of application: Amount with the NextGenerationUE Fund discount applied
- Teaching language: Catalan
- Location: Faculty of Sciences - UAB
The microcredential Determination of Sample Size in Experimental Studies aims to highlight the importance of determining sample size and explain how it affects estimates and the statistical power of experimental studies, as well as the main tools used to calculate it.
When conducting an experimental study, it is common to plan the study based on the objectives and hypotheses to be tested. This planning includes, among other aspects, defining the design, selecting variables, choosing the type of statistical analysis to be performed, and-crucially-determining the number of individuals or participants to include in the study. Sample size is not an arbitrary decision: it is closely related to data variability, the chosen significance level, the effect size to be detected, and the type of study being conducted. A sample that is too small may lead to inconclusive results, while an excessively large sample may result in wasted resources. To help participants apply the concepts learned to their own work or research contexts, the course combines theoretical content, examples, and practical exercises using the free software tools ENE 3.0 and R.*
*To take this course, participants must use their own laptop.
- Block II: Parameter Estimation (II)
- Block III: Sample Size Calculation for Making Comparisons
- Block IV: Equivalence and Other Designs
- Life sciences, health sciences, psychology
- Social sciences and humanities
- Industry and services
- Economics and finance
- Media and communication
- Public administration
- Academic field: teaching and research
This training offers you the opportunity to plan and identify experiments in order to obtain valid and reliable results, formulate statistical hypotheses, and develop strategies to confirm or reject them.
When conducting an experimental study, it is common to plan the study based on the objectives and hypotheses to be tested. This planning includes, among other aspects, defining the design, selecting variables, choosing the type of statistical analysis to be performed, and-crucially-determining the number of individuals or participants to include in the study. Sample size is not an arbitrary decision: it is closely related to data variability, the chosen significance level, the effect size to be detected, and the type of study being conducted. A sample that is too small may lead to inconclusive results, while an excessively large sample may result in wasted resources. To help participants apply the concepts learned to their own work or research contexts, the course combines theoretical content, examples, and practical exercises using the free software tools ENE 3.0 and R.*
*To take this course, participants must use their own laptop.
Contents
- Block I: General Concepts and Parameter Estimation (I)- Block II: Parameter Estimation (II)
- Block III: Sample Size Calculation for Making Comparisons
- Block IV: Equivalence and Other Designs
Career opportunities
Statistics is the scientific discipline related to the collection, analysis, interpretation, and presentation of data. It is used across various academic fields, from the physical sciences to the social sciences and humanities. The professional opportunities it opens up span many areas:- Life sciences, health sciences, psychology
- Social sciences and humanities
- Industry and services
- Economics and finance
- Media and communication
- Public administration
- Academic field: teaching and research
This training offers you the opportunity to plan and identify experiments in order to obtain valid and reliable results, formulate statistical hypotheses, and develop strategies to confirm or reject them.
Scholarships and financial aid
Chek all the information on the possibilities for grants and scholarships in the page for UAB financial aids, grants and calls.
Coordinating centres
Escuela de Formación Permanente
Collaborating centres
Societat Catalana d'Estadística
Contact
Llorenç Badiella Busquets
Phone: 935814534