Instructor Led P-value Training Classes

Fundamental Tools in Statistics An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics. First, the course covers descriptive statistics : the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard more...

Les outils essentiels de la statistiques Cette formation d'une journ e couvre les deux principaux axes sur lesquels s'appuient les m thodes statistiques. Dans un premier temps, la statistique descriptive est abord e. On y traite des diff rents types de variables, du r le des variables, de la variabilit , des distributions et de la caract risation des distributions statistiques a l'aide d'outils connus tels la moyenne et l' cart-type more...

Introduction a la planification d'exp riences ...es, la statistique inf rentielle (principe, ce qu'est une p-value, les risques inh rents aux tests statistiques, les intervalles de confiance). Ensuite la formation couvre les principes de base en planification d'exp riences: la prise en compte de la variabilit , randomisation, r p tition, blocage et utilisation de t moins. La comparaison de deux groupes et de plus de deux groupes (plans more...

Introduction to the Design of Experiments ...g variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence intervals). It also discusses the comparison of two groups using the T-test or Student test. Then the training covers the fundamentals of design of experiments: accounting for variability (randomization, replication, blocking and controls), the construction of more...

Advanced Experimental Designs This course covers the fundamental concepts in statistics in a non-technical and applied way. This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, more...