Analysis, data and statistics applied to wood sciences

• Introduction to statistics and scientific approach

                       Scientific approach

                       Data structuring

                       Descriptive statistics

                       Overview of analytical methods

                       A Critical Look at Statistics

• Univariate analyses

                       Comparison tests

                       Compliance of a distribution

                       Simple regression and variance/covariance analysis

• Multivariate Analyses

                       Correlations and principal component analysis

                       Multiple linear regression

                       Non-linear adjustments

• Classification and discrimination

                       Classification (supervised, unsupervised)

                       Segmentation and discrimination

• Statistical analysis tools

                       Introduction to R software

The "Data Analysis" course aims to teach the main methods of statistical analysis, to enable students to acquire a rigorous analytical approach, and to develop a critical approach to the interpretation of results.

• Understand the role of statistics in a rigorous scientific approach
• Organizing data for analysis
• Formulate an analysis requirement in statistical terms
• Implement univariate and multivariate statistical analysis
• Interpret the results of univariate and multivariate analysis
• The main segmentation methods
• Handling data with R
• Use R functions to analyze data