METHODS OF DATA ANALYSIS
DECISION MAKING WITH HYPOTHESIS TESTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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In reality, the null hypothesis may or may not be true, and a decision is made to reject or not to reject it on the basis of the data obtained from a sample.
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -In reality, the null hypothesis may or may not be true, and a decision is made to reject or not to reject it on the basis of the data obtained from a sample. Q. The level of significance is the maximum probability of committing a type II error. There’s a 5% chance we’ll be wrong if we reject the null hypothesis.
Detailed explanation-2: -If the null hypothesis is true, there are only two possibilities: we will reject it with probability of alpha (), or we will choose to accept the null hypothesis with probability of 1-. Rejecting a true null hypothesis is called a false positive, such as when a medical test says you have a disease when you do not.
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