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13 April, 21:47

You use software to carry out a test of significance. The program tells you that the P-value is P = 0.008. This result is

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  1. 13 April, 22:04
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    The p-value determines if the result of the test is significant or not. Very small values of p, show that the result is significant.

    Based on p-value, the null hypothesis is rejected based on following criteria:

    1) P-value ≤ Significance Level (α)

    In this case, the null hypothesis is rejected. This shows the results do not just occur by chance and are significant.

    2) P-value > Significance Level (α)

    In this case, we fail to reject the null hypothesis. This shows the results are not significant.

    p-value of 0.008 is very small value. Usually the α value is set to be 0.01 or 0.05, but it may vary depending on the problem we are dealing with. So such a small p-value signifies that the result is significant.
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