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Sep 12, 2018 12:49 PM
(1220 views)

I received an example from a customer of some data analysis. They performed 3 tests on the data.

- Linear Fit
- Orthogonal Fit Ratio = 1.000
- Paired t Test

I am able to get the first two through the Fit Y by X however I cannot find anywhere (online and in the software) to do a Paired t Test.

They did create two more columns for "Standard Value" and "Delta" which are formulas but are blank in the data table.

Any suggestions?

Thanks

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Hi @MDrake,

The typical way in JMP to perform a paired t-test using the Matched Pairs platform, which is available under Analyze > Specialized Modeling > Matched Pairs.

A less common way to perform the Paired t-test is using Fit Y by X just as you have before (with a continuous Y variable, and a continuous X variable), but before clicking the Red Triangle, hold down the Shift key on your keyboard. You will see the Paired T-test option now available in the menu. TheMatched Pairs platform has more options, but occasionally it's useful to run the Paired T-test through Fit Y by X.

I hope this helps,

3 REPLIES

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Hi,

The Paired t-test platform has moved from the main "Analyze" menu to "Analyze" > "Specialized Modeling" > "Matched Pairs".

To use this platform, your response needs to be split into columns (e.g. Before, After) with each row representing a unique item (e.g. Patient).

Cheers,

TS

Thierry R. Sornasse

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Hi @MDrake,

The typical way in JMP to perform a paired t-test using the Matched Pairs platform, which is available under Analyze > Specialized Modeling > Matched Pairs.

A less common way to perform the Paired t-test is using Fit Y by X just as you have before (with a continuous Y variable, and a continuous X variable), but before clicking the Red Triangle, hold down the Shift key on your keyboard. You will see the Paired T-test option now available in the menu. TheMatched Pairs platform has more options, but occasionally it's useful to run the Paired T-test through Fit Y by X.

I hope this helps,

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Thank you that is excatly what I needed!