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Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always...

Indicate whether the following statement is true or false.

In hypothesis testing, the p-value should always be larger than the selected level of significance.

True

False

Math   Statistics-And-Probability   
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Answer #2

False.

In hypothesis testing, the p -value is sometimes larger than selected level of significance and sometimes smaller than selected level of significance. Hypothesis testing takes appropriate decision by using P value .

First we set up two hypothesis - Null hypothesis and alternative hypothesis.

Null hypothesis means there is no statistically significance difference in our claim. Alternative hypothesis means there is statistically significance difference in our claim.

p-value less than selected level of significance then reject null hypothesis in favour of alternative hypothesis and it is statistically significant. A p-value higher than selceted level of significance so not reject null hypothesis then  it is not statistically significant and indicates strong evidence for the null hypothesis.

answered by: anonymous
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