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    Hi ya, my textbook is confusing me

    it says that you reject your hypothesis if chi squared is less than 0.5

    But you accept your null hyopthesis is chi squared is more than 0.5

    So whats the difference between a null hypothesis and normal one? isnt null when you say theres no difference between your results to.. oh I dunno!

    Can anyone explain the whole thing to me from scratch plz
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    (Original post by poptart86)
    Hi ya, my textbook is confusing me

    it says that you reject your hypothesis if chi squared is less than 0.5

    But you accept your null hyopthesis is chi squared is more than 0.5

    So whats the difference between a null hypothesis and normal one? isnt null when you say theres no difference between your results to.. oh I dunno!

    Can anyone explain the whole thing to me from scratch plz
    Is it not 0.05?

    The null hypothesis is something like: There is no correlation between signature length and IQ.

    If you get chi2 as less than 0.05 (or 0.5 if you're sure), then you can reject that hypothesis, so you can say: there is a correlation between signature length and IQ.

    If you accept the null, then you have no statistical evidence to show that there is a correlation. It is just a measure of the significance of your results.
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    yeah sorry i was trying to type fast, i guess thats why i forgot the extra 0 sorry!

    right, i think i get it.. just both my science teachers had differing opinions on what null hypothesis was, so it confused me lol
 
 
 
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