# Normal Probability Plot Question

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• #41371

geekus
Participant

I ran a normal prob plot on some data today.  It’s continuous data and it is several weeks worth of data points.
I have a p-value of 0.032 which i believe indicates that the data is normal.
I am new however and I hate seeing an output with values on it that i dont understand.  What does the A-squared value of 0.757 represent?  The thing is, its directly above the p-value and if i show somebody this chart and they ask me what a-squared means..and i dont have a good explanation then the credibilty of the entire plot could be in question.
Also, I dont understand what the probablilty scale is telling me.  The line is running up and to the right.  I know that the dots are N and that they tell a story but what is the line telling me?
I’m very new at this and i just want to really understand what the tools are telling me.
thanks
geekus

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#129580

geekus
Participant

Anderson-Darling…..forgot to mention.

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#129583

CT
Participant

P-value = 0.05
A-squared is the test statistic for the Anderson-Darling Normality test. It is a measure of how closely a dataset follows the normal distribution. The null hypothesis for this test is that the data is normal. So if you get an A-squared that is fairly large, then you will get a small p-value and thus reject the null hypothesis. Small A-squared values imply large p-values, thus you cannot reject the null hypothesis.
There is a ton of information on this site, and little investigation will go a long ways, just enter a keyword search and do some reading . The answers your looking for are here
CT

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#129584

jimmie65
Participant

Try the help menu in Minitab. Open the dialog box for probabilty plot and clock the Help button, then search through that entry. You’ll probably find some interpretation information under Example.
If it’s not there, type your term in the search box.

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#129585

mZ
Participant

CT:
normal = P-value >= 0.05? Is this right?
If the test is against a theoretical Normal distribution, as the p-value getting larger, it means your data is getting closer to a normal distribution. When the A-sq is close to 1, then you can say your data is distriuted normally.
My two cents.
mz

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