REPORTING AND THESIS WRITING
NULL HYPOTHESIS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Level of Confidence
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Level of Significance
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Level of Margin
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Level of Rejection
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Detailed explanation-1: -The probability of committing a type I error (rejecting the null hypothesis when it is actually true) is called (alpha) the other name for this is the level of statistical significance.
Detailed explanation-2: -If the null hypothesis is false, then the probability of a Type II error is called (beta). The probability of correctly rejecting a false null hypothesis equals 1- and is called power.
Detailed explanation-3: -Higher values of make it easier to reject the null hypothesis, so choosing higher values for can reduce the probability of a Type II error. The consequence here is that if the null hypothesis is true, increasing makes it more likely that we commit a Type I error (rejecting a true null hypothesis).