
Review of Short Phrases and Links 
This Review contains major "False Null Hypothesis" related terms, short phrases and links grouped together in the form of Encyclopedia article.
Definitions
 When a false null hypothesis is accepted, it is called Type II error (b).
 The more this assumption is violated, the more conservative ANCOVA becomes (the more likely it is to make Type I errors  accepting a false null hypothesis).
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 Conventionally, studies should reach a power level of 0.8, such that four times out of five a false null hypothesis will be rejected by a study.
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 If you reject the false null hypothesis, you have made a correct decision.
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 Power of a test is the probability of correctly rejecting a false null hypothesis.
 Statistical power (1  β) is the probability of rejecting a false null hypothesis.
 The outcome that a researcher desires is to reject a false null hypothesis or to fail to reject a true null hypothesis.
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False Null Hypothesis
 The power of a statistical test is the probability that the test will reject a false null hypothesis (that it will not make a Type II error).
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 Rejecting a null hypothesis that is true is called a Type I error and failing to reject a false null hypothesis is called a Type II error.
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 However, smaller αlevels run greater risks of failing to reject a false null hypothesis (a Type II error), and so have less statistical power.
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Categories
 True Null Hypothesis
 Statistical Test
 Rejecting
 Evaluation > Analysis > Tests > Statistical Power
 Correct Decision

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