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Jun 30, 2015 3:07 PM
(1174 views)

When making a Normal Quantile Plot (Analyze -> Fit Y by X and turn on "Plot Quantile by Actual"), there are a few small numbers on the right-hand-side axis opposite from the quantile (cumulative probability) amounts that are on the left-hand axis. I'd like to find out what the right-hand axis represents. It looks like 0 on the right side seems to line up with the .5 quantile (median). The right-hand axis usually displays values +/- 0.67, 1.28, 1.64, and 2.33. **Does the right-hand axis indicate the standard deviation from the median?** Is there a constant one-to-one formula between the quantile amounts and this other axis?

The same is observed when you do "Plot Actual by Quantile" which is shown in the JMP "Basic Analysis" book page 198 (Figure 6.29, Example of a Normal Quantile Plot), in which the quantiles are on the bottom axis and these "other" numbers are on the top.

Also, when you do a Distribution plot (Analyze -> Distribution), the quantile amounts are on the outside right axis, and these other numbers are on the inside right axis.

Besides knowing the theory behind what this other axis is, I was wondering if JMP provides an option to turn the display of it off in any of these chart types, so that you would only see the "actuals" axis and the quantiles axis for the Normal Quantile Plot?

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Jul 2, 2015 10:43 AM
(734 views)

Solution

The Normal Quantile Plot above plots the data value (e.g., height) on the vertical axis and the probability (0 to 1) from the CDF on the horizontal axis. So the horizontal scale is the probability that you would observe a value up to the data value using the CDF of the normal distribution. The secondary scale (inset at the top of the plot and called out with the red ellipse above) are the quantiles from the standard normal distribution (mean 0, standard deviation 1)..

Learn it once, use it forever!

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Jul 2, 2015 10:43 AM
(735 views)

The Normal Quantile Plot above plots the data value (e.g., height) on the vertical axis and the probability (0 to 1) from the CDF on the horizontal axis. So the horizontal scale is the probability that you would observe a value up to the data value using the CDF of the normal distribution. The secondary scale (inset at the top of the plot and called out with the red ellipse above) are the quantiles from the standard normal distribution (mean 0, standard deviation 1)..

Learn it once, use it forever!

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Sep 22, 2015 1:37 PM
(698 views)

Hi Mark, I am using the Normal Quantile Plot a lot at work. One thing that I have been having trouble is setting the probability axis. Could you let me know how to generate a symmetric scale (centered at 50%) for the probability axis? Below is an example I generated from Minitab. I haven't found a way to do the same in Jmp. I am using JMP 11.

Many Thanks,,

Liang

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Sep 23, 2015 9:57 AM
(698 views)

Right Click on the Axis of interest, select Axis Settings. In the "Scale" area of the Axis Settings Dialog there is an pull down menu that says "Type". It will probably say "Linear" by default. At the bottom of the pull down list is a group of options for "Probability Scales." The first one is Normal Probability.

Best,

Mike Anderson