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>
This would be an example of:
C) an insertion mutation.
Notice how the sequence contains the same letters as before, only an A is added to the beginning. Adding extra nucleotides is an example of an insertion mutation, a type of frame-shift also, because the reading frame will be thrown off downstream.
I am not sure but does it not already do that. Because i think it goes both ways so we can get sun <span />
