Answer:
The answer is: Increases with more tests (trials)
Explanation:
The statement above is related to the subject of "Statistics." Under this is the<u> "null hypothesis."</u> This refers to the general statement which states<u> that there is no significant difference among variables. </u>The "power of the test" refers to the probability that you have rejected the null hypothesis correctly.
<em>You only find the power of the test when you are assuming that the null hypothesis is, indeed, false.</em> There are many factors affecting the power of a test such as the <em>significance level (α = alpha) of the test, the sample size (n), the difference between a parameter's true value and hypothesized value and the inherent variability of the response variables that are being measured. </em>
So, this means that the power of the study increases with more tests (trials). The process is being improved with more tests, thereby increasing the power. This, in turn, increases the probability of rejecting the null hypothesis.
Thus, this explains the answer.
Um...because someone put to much caffeine XD or a human does not need a lot of caffeine and coffee has more than needed
Answer:
Addiction recovery he should not try to quite cold turkey because his body could have issues if he has been using cocaine for say three years.
Explanation:
The correct answer is A. Adequacy
Explanation:
In nutrition, the term "adequacy" refers to the necessary amount of nutrients or food a person needs to consume to be healthy which depends on the physical activity, requirements and medical conditions of the individual. In this way, Jamie's diet lacks adequacy because as an athlete she required 2.800 kilocalories; however, she is only consuming 1.600 kilocalories each day and this means she is not consuming the necessary amount of nutrients and food and therefore her diet is inadequate for her requirements and physical activity level.
