
Review of Short Phrases and Links 
This Review contains major "True Null Hypothesis" related terms, short phrases and links grouped together in the form of Encyclopedia article.
Definitions
 When a true null hypothesis is rejected, it is called Type I error (a).
 For any hypothesis, we define a random variable H i that equals 0 if it is under H 0 (true null hypothesis), and equals 1 under H 1 (false null).
 Generally, if the distribution of the test statistic is continuous, under the true null hypothesis, the P value is uniformly distributed between 0 and 1.
 However, formulating the null hypothesis before collecting data, rejects a true null hypothesis only a small percent of the time.
 Alpha is a probability, a probability of rejecting a true null hypothesis.
 The outcome that a researcher desires is to reject a false null hypothesis or to fail to reject a true null hypothesis.
True Null Hypothesis
 Before data is collected one must specify a level of significance, or the probability of committing a Type I error (rejecting a true null hypothesis).
 It is the minimum probability of not rejecting a true null hypothesis (committing a Type I error) and is equal to one minus the significance level.
 Alpha  the probability of a Type I error, which is a situation where a true null hypothesis is incorrectly rejected.
Categories
 False Null Hypothesis
 Rejecting
 Significance Level
 Encyclopedia of Keywords > Information > Error
 Collecting Data

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