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.
- 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.
- False Null Hypothesis
- Significance Level
- Encyclopedia of Keywords > Information > Error
- Collecting Data
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