Data analysis and applied statistics wood science

• Introduction to statistics and the scientific approach

                       Scientific approach

                       Data structuring

                       Descriptive statistics

                       Overview of analysis methods

                       A critical look at the statistics

• Univariate analyses

                       Comparison tests

                       Compliance of a distribution

                       Simple regression and analysis of variance/covariance

• Multivariate analysis

                       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 approach to analysis, and to develop a critical mind on the interpretation of results.

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