Answer:
A. 2.5 miles
Explanation:
I completed it n got 100 lol
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:
there are changes in the climate which result in the enviorment changing
i think that the first picture (the one with snow) happened first because it shows the most "natural" of them all, with snow in the beguning and melted into picture number 2 (the gray pic). it shows climate changing resulting in the mountain snow to melt faster and developing into something similar but different.
hope this helps:)
Yes it is correct I'm pretty sure
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