STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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large enough
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even
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small
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negative
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Detailed explanation-1: -The smaller (closer to 0) the p-value, the stronger is the evidence against the null hypothesis. If the p-value is less than or equal to the specified significance level , the null hypothesis is rejected; otherwise, the null hypothesis is not rejected.
Detailed explanation-2: -The decision to reject or retain the null hypothesis is called significance. When the p value is less than . 05, we reach significance; the decision is to reject the null hypothesis.
Detailed explanation-3: -Alpha, the significance level, is the probability that you will make the mistake of rejecting the null hypothesis when in fact it is true. The p-value measures the probability of getting a more extreme value than the one you got from the experiment. If the p-value is greater than alpha, you accept the null hypothesis.