JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Fitting Linear Models •
Statistical Details
• Key Statistical Concepts
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Key Statistical Concepts
There are two key concepts that unify classical statistics and encapsulate statistical properties and fitting principles into forms that you can visualize:
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a unifying concept of uncertainty
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two basic fitting machines
These two ideas help unlock the understanding of statistics with intuitive concepts that are based on the foundation laid by mathematical statistics.
Statistics is to science what accounting is to business. It is the craft of weighing and balancing observational evidence. Statistical tests are like credibility audits. But statistical tools can do more than that. They are instruments of discovery that can show unexpected things about data and lead to interesting new ideas. Before using these powerful tools, you need to understand a bit about how they work.
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Help created on 7/12/2018