Question

What do you understand by the terms - Level of Significance and Power? Discuss their relevance in sample size determination.

25 Nov 2017
Answer :
Word Count : 376

The significance level is the criterion used for rejecting the null hypothesis. The significance level is used in hypothesis testing as follows: First, the difference between the results of the experiment and the null hypothesis is determined. Then, assuming the null hypothesis is true, the probability of a difference that large or larger is computed. Finally, this probability is compared to the significance level. If the probability is less than or equal to the significance level, then the null hypothesis is rejected and the outcome is said to be statistically significant.

The probability of correctly rejecting a null hypothesis

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