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Understanding the p-value

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Uploaded by on Jun 2, 2008

Please view new version: http://www.youtube.com/watch?v=eyknGvncKLw
by CreativeHeuristics. Now part of an app: AtMyPace: Statistics.

  • likes, 35 dislikes

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Uploader Comments (UCMSCI)

  • I wish all my lectures were like this...

  • @DaisyExodus Thanks. We are busy remaking some of these so we aren't breaking copyright (!) And making some more. We are also putting them into an iPad app, along with intereactive quizzes to help people learn. SO thanks for the encouragement. We really appreciate it.

    The new videos will be at CreativeHeuristics Youtube channel, and the app will by AtMyPace:Statistics. Tell your friends.

  • But how do you work out the p-value?

  • @efb420 If you look at my response to @mmmcr00 above, you can see how. Generally the computer package works it out, and we interpret it.

Top Comments

  • Ho: This video isn't cool

    (p<0.05)

  • @KRKbert Yus.

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All Comments (77)

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  • "p is low, null must go"  <-- love it

  • Well put together , thanks for the video, it was very helpfull

  • helped greatly, cheers!

  • @vinzbrain I'm afraid statistics is far from precise. In fact the choice of alpha is a remnant from when p-values were difficult to calculate. Really we look at the size of the p-value and judge from that.

  • @yzy010858

    isn't it that you fix alpha to whatever value you want and then test p against your alpha?

    If that is true then I am not sure if you are being very precise

  • @vinzbrain to be precise alpha>=0.05

  • @palui I was giving you an example of what P=0.05 means, not that P=0.05 is always 20 studies.

    You're definition of the P-Value is correct by the way.......

  • @IceAges14Aces I had figured out my error after I had made my comment. Thanks for your reply. However, your reply isn't worded correctly. The p value can be described as: In all possible random repeated samples of size n from a population for which the null were true, the proportion of times for which your test statistic was as large or larger than the value realized in your observed data is the p-value. p=0.05 has nothing to do with running a study 20 times.

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