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JMP - Analyzing Categorical Data (JCAT)
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This 1-day-course teaches you how to analyze data with a single attribute response variable. After completing this course, you should be able to analyze mosaic plots, frequency tables, and odds ratios.

Analyzing a Cochran-Mantel-Haenszel test for stratified data and the use of the partitioning plattform to explore data patterns are discussed. Finally binary, nominal, and ordinal logistic regression correspondence analysis and attribute MSA techniques are covered.

Content:

  • recognizing the difference between categorical and continuous data analysis
  • performing recursive partitioning
  • performing logistic regression including odds analysis
  • Ordinal Logistic Regression and Correspondence Analysis
  • Attribute Measurement Systems Analysis

Requirements:

Students should have some basic experience in how to work with JMP. This knowledge could be gained in the coures Explorative Data Analysis with JMP.