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  1. #1
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    p-value




    Can someone please help me understand what this means in plain english?

    The p-value = 2 x [1-phi(8.8)] < .001, and the results are highly significant.

    Am I multiplying 8.8 times phi? Do I get phi from a table?

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    Re: p-value

    Seems to me, you're working with a two-tailed hypothesis test. phi is the cumulative density function of whatever distribution you're working with. 8.8 is the test statistic.

    It isn't "8.8 times phi"
    Last edited by Buckeye; 09-22-2016 at 01:06 PM.
    "I have discovered a truly remarkable proof of this theorem which this margin is too narrow to contain." Pierre de Fermat

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    Re: p-value

    kdsan,

    It would help if you posted the source or a link to the original content.




    Buckeye,


    Have you read Fermat's Enigma. Its a great book describing the problem and Andrew Wiles' saga to answer it.
    Stop cowardice, ban guns!

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    Re: p-value

    I haven't had the chance to read it. But, that quote has been a running joke in a few of my classes when we don't know how to answer a question. I find it funny in that way.
    "I have discovered a truly remarkable proof of this theorem which this margin is too narrow to contain." Pierre de Fermat

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    Re: p-value

    Attached are screen shots of the problem.
    Attached Files

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    Re: p-value

    I wasn't too familiar with using the Z-test for comparing proportions. So I looked it up, you find the p-value for the test statistic 8.8 on the standard normal table and multiply it by 2 if you were running a two-tailed test (i.e., Ho: p1 = p2; Ha: p1 not = p2, no directionality on difference).


    So you look 8.8 on the standard normal table and minus it from 1 since it in on the left tail. You get 2(1 - 0.99997) for the pvalue.
    Stop cowardice, ban guns!

  7. The Following User Says Thank You to hlsmith For This Useful Post:

    kdsan (10-14-2016)

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    Re: p-value


    Thank you So much!!

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