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Math Help - T test result interpretation

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    T test result interpretation

    I am doing a T Test for a before and after study. My objective is to prove that before and after are not equal. so if my null hypothesis is same, how would i reject that based on the T test (Two-Sample Assuming Unequal Variances) results. (any source or help on explaining it)
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    Re: T test result interpretation

    For a before and after study, try a paired T-test. Reject the null hypothesis if your p-value is very small i.e. p< 0.001 or the absolute value of your calculated T value is bigger than the absolute value of your critical T value.
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    Re: T test result interpretation

    t stat and Calculated T values are they same ? My P Value (P(T<=t) two-tail) is 0.681113 is more than .001 That means I should accept the null hypothesis. following is the result from excel.

    Variable 1 Variable 2
    Mean 15.25 16
    Variance 11.92857143 10
    Observations 8 6

    Hypothesized Mean Difference 0
    df 11
    t Stat -0.422059043
    P(T<=t) one-tail 0.340556458
    t Critical one-tail 1.795884814
    P(T<=t) two-tail 0.681112916
    t Critical two-tail 2.200985159
    Last edited by Jahid; August 21st 2012 at 10:00 AM. Reason: formatting for clarity
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    Re: T test result interpretation

    Quote Originally Posted by Jahid View Post
    t stat and Calculated T values are they same ? My P Value (P(T<=t) two-tail) is 0.681113 is more than .001 That means I should accept the null hypothesis. following is the result from excel.
    A p-value of 0.68 doesn't mean that you "accept" the null hypothesis. It simply means you don't have enough evidence to reject the null hypothesis.
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