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Aug 17, 2017 2:34 AM
(415 views)

My customer asked me to test a few test of data for independent data. He told me to use Run Chart and check p value. However i am unable to determine how this is done.

Basically what we are trying to achieve is take data sets for a particular characteritsics from many machines,

Our intent is to check the following, We should test for normality, independency and hypothesis testing for mean and equal variances. I am able to do all the test except independency. Any help to solve this will be useful.

5 REPLIES

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Aug 17, 2017 9:49 AM
(399 views)

There is an JMP Addin in the File Exchange that will calculate the Run's Test you are looking for.

Just download and install the Adding, and you can then run it.

Jim

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Aug 17, 2017 11:07 AM
(394 views)

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Aug 17, 2017 1:22 PM
(368 views)

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A month ago
(295 views)

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4 weeks ago
(218 views)

I'm not big on using any single 'metric' to evaluate autocorrelation within time series data when one has the rich set of data visualization options within JMP. Within the Analyze -> Specialized Modeling -> Time Series platform report the Time Series Basic Diagnostics autocorrelation and partial autocorrelation plots provide lots of useful information such as whether or not autocorrelation is likely to exist...and then if it's apparent, at what lag? A great way to see how the platform works is to run the embedded analysis script in the JMP data table, 'Seriesg' (in the JMP Sample Data Directory).

Here's some additional information within the JMP online documentation:

http://www.jmp.com/support/help/13-2/Time_Series_Basic_Diagnostics_Chart.shtml#399360