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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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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Detailed explanation-1: -The alternative/research hypothesis is always the opposite of the null hypothesis. For example, if a null hypothesis is expressed as H0:=1 H 0 : = 1, the alternative hypothesis is represented as H1:≠1 H 1 : ≠ 1 . Thus the given statement is True.
Detailed explanation-2: -The null hypothesis is typically denoted as . The null hypothesis states the “status quo". This hypothesis is assumed to be true until there is evidence to suggest otherwise.
Detailed explanation-3: -The null hypothesis H : = is a statement of “no effect” meaning whatever effect the researcher suspects may be true is, in fact, not present. If the sample mean turns out to be close, then any small difference can be explained as just due to chance.
Detailed explanation-4: -The alternative hypothesis, H1 or Ha, is a statistical proposition stating that there is a significant difference between a hypothesized value of a population parameter and its estimated value. When the null hypothesis is tested, a decision is either correct or incorrect.