![]() Click “Show Grand Mean” to display the average across all the groups.Click “Show Group Means” to display the average within individual group.Click “Connect Cell Means” to create lines connecting individual observation.In the red triangle button next to “Variability Gauge”.Select “Crossed” as “Model Type” since it’s a crossed hierarchy.Select both “Operator” and “Unit” as “X, Grouping”.Click Analyze -> Quality and Process -> Variability/Attribute Gauge Chart.For each unit, there are three items sampled.ĭata File: “Multi-Vari.jmp” Steps in JMP to perform a Multi Vari Analysis: The ABC Company randomly selects three operators (Joe, John, and Jack) each of whom measures the weights of 10 different units. The ABC Company wants to have a better understanding of the main source of variability existing in the weight measurement. Multiple factors could have an impact on the weight measurements. Operators measure the weights of the units before sending them out to customers. Use JMP to Perform Multi-Vari AnalysisĬase study: ABC Company produces 10 kinds of units with different weights. ![]() There are generally two types of hierarchies: crossed and nested. Each object in the hierarchy tree indicates a specific level of a factor (input). In Multi-vari analysis, we use the hierarchy to present the relationship between categorical factors (inputs). If object A is above object B and they are directly connected to each other in the hierarchy tree, A is B’s parent and B is A’s child. Each object in the hierarchy is described as above, below, or at the same level as another one. Hierarchy is a structure of objects in which the relationship of objects can be expressed similar to an organization tree. ![]()
0 Comments
Leave a Reply. |