00:46
How do I test my data for normality using JMP software?
05:00
K-Means Clustering: How Does It Work?
14:45
Central Composite Designs in JMP Software
04:45
Custom DOE: Comparing a D-Optimal design against an I-Optimal design.
13:50
Multiple ways of performing a simple calculation in JMP Software.
01:21
Multiple ways of performing a simple calculation in JMP Software?
19:21
How to use JMP to rapidly identify predictor variables
05:44
How to create a dashboard using JMP Software.
06:10
Three layout TIPS for JMP Software
13:33
I have 2 models. Which one should I choose?
08:36
Process Capability: Why you should use the K-Score method and not the Percentile method
11:19
Exploratory data analysis of (functional) multivariate data using JMP
06:39
How to use JMP's script editor as a calculator
04:20
4 Reasons to use a JMP Journal
05:55
Hierarchical Clustering: DENDROGRAMS - what are they, and how are they used?
30:45
JSL Decoded: How to Write a JSL Script. Part 6.
26:52
JSL Decoded: How to Write a JSL Script. Part 5.
15:21
JSL Decoded: How to Write a JSL Script. Part 4.
12:37
JSL Decoded: How to Write a JSL Script. Part 3.
16:48
JSL Decoded: How to Write a JSL Script. Part 2.
11:44
JSL Decoded: How to Write a JSL Script. Part 1.
06:10
3 Tips for Better Decision Trees in JMP Software
05:30
JMP Software: How to Rapidly Discover Relationships Within Your Data
26:33
An Introduction to Statistical Design and Analysis of Experiments
24:23
Learn JSL by Example: Oneway Advisor
00:14
Discover JMP
08:36
Model Diagnostics and Transformations
00:49
JMP Software: JSL scales simulator
09:03
DOE using JMP® Software: Construction and Interpretation of a Response Surface
07:20
DOE using JMP® Software: Sequential Folded Designs
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About
JMP is powerful software for data exploration and statistical analysis.
Pega Analytics Ltd specialises in delivering JMP training courses and creating add-ins and scripts based on the JMP scripting language (JSL).
In this channel, you will learn tips and tricks for working with JMP Software, together with insights into the statistical thinking that underpins a variety of statistical methods.
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