Applied statistics with JMP

[6 half days] - [English]

Do you have data to analyze? Are you already using JMP and want to improve your skills? Do you want to learn how to apply the main statistical analysis methods and revisit the fundamental inference concepts?

JMP uses a "point and click" interface which means that it links in a dynamic and interactive manner statistics and graphs, to understand et visualize data.  This conception allows the user to cliclk on any point of the graph and to see the corresponding data points highlighted on the data table and, on other graphs.  Its very complete set of statistical tools allows shaping, exploration and analysis of experimental data.

Training aims
At the end of this course, the participant will have the necessary knowledge to carry out the most classic statistical analyses, from the comparison of averages to linear regression.

Prerequisites
By registering for this training, you commit to a level of knowledge equivalent to the following training(s):

Content

• Data exploration and distribution study
• Means comparison (t Test, ANOVA, Non parametric tests such as Wilcoxon-Mann-Whitney test)
• Proportions comparisons (Test exact de Fisher, Test du chi-carré)
• Association between two quantitative variables (correlation)
• Regression(simple linear regression and multiple regression)
• Logistic regression
• Linear model with random intercept (notions, if enough time)

Tools used during training
JMP

Methods and method families discussed
Nonparametric statistics
   Nonparametric tests to compare means
   Test of proportion and goodness of fit test
Parametric statistics of mean comparison
   Student's t-test
   ANOVA
Regression model
   Simple linear regression
   Logistic regression
   Multiple linear regression