Analyse des données expérimentales biologiques

Analysis of Biological Experimental Data

Purpose: To analyze data to validate a scientific hypothesis

Types of data:

Qualitative (categories)

Quantitative (measurements)

Key steps:

Experimental design

Data collection

Statistical analysis

Interpretation

Statistics:

Descriptive: mean, standard deviation

Inferential:

Parametric tests (t-test, ANOVA)

Nonparametric tests (Mann-Whitney, Wilcoxon)

Relationships between variables:

Correlation

Regression

Multivariate analyses (PCA, PCA, MANOVA)

Important conditions:

Normality

Homogeneity of variances

Independence

Tools:

SPSS