Applied Statistics for Engineers
Business Knowledge Series course
Presented by Diana Ballard, Senior Statistician, Predictum, Inc.; or Wayne Levin, President, Predictum, Inc.; or Cy Wegman, Senior Analyst, Predictum, Inc.
This course begins by familiarizing attendees with JMP, JMP data tables, analyses, and various utilities. Using JMP as a platform, the course continues with how to apply engineering and scientific approaches to problem solving, improvement initiatives, and design questions by focusing on descriptive statistics, graphical analysis, hypothesis testing, analysis of variance, and model building. The course combines the use of JMP with basic, intermediate, and advanced analytical methods. Interactive illustrations enable course attendees to understand statistical concepts by engaging and experimenting with them. To help guide them, attendees are also provided a set of flowcharts that integrates JMP tools into a process that shows them where they are, where they are going, and when they have fully completed the analysis. This course provides specific advice on how to exploit these methods in the real world. Engineers, scientists, and other analysts attending the course will come out prepared to take on problems and reveal exploitable insights.Learn how to effectively use JMP to
Who should attendEngineers, scientists, and technicians who intend to solve problems and engage in product or process improvement
Before attending this course, you should have a general familiarity with computers. There are no prerequisites, but familiarity with spreadsheet software is helpful.
This course addresses JMP software.
Introduction to JMP