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Ahat [919]
3 years ago
10

Explain how critical value variations influence statistical power.

Biology
2 answers:
zloy xaker [14]3 years ago
8 0
Statistical power is the likelihood that a test (statistical test) will detect an effect when there is an effect there to be detected. Statistical power<span> is inversely related to </span><span>the probability of making a </span>Type II error (Type II errors<span>, or </span>false negatives, occur when you don’t see things that are there) = beta<span>.
statistical power = 1 – </span>β. The critical value<span> is the </span>value corresponding to a given significance level.  The statistical power<span> is </span>influenced by the choice of significance level for the test (by the critical value). Larger critical value means increased power of the test: <span> the chance of obtaining a statistically significant result is increased (reduces the risk of a </span>Type II error<span> (false negative regarding whether an effect exists) is reduced) . </span>
NNADVOKAT [17]3 years ago
6 0

If a researcher establishes the critical values of a study to be more conservative, the more power the researcher has in finding significant support for a hypothesis. In the same sense, the less conservative the established critical values are, the less power a researcher has in finding significant support for a hypothesis.

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