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>
Answer:
Direct and indirect sunlight is the main cause for the 4 different seasons
Explanation:
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Wood is an insulator.
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<span>B) Earth revolving around the sun and the sun's light being reflected off the moon because the moon orbits earth and earth orbits the sun so the sun lights the moon
Signed by, Virtuoso Sargedog
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Answer:
D
Explanation:
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