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.
Answer:Option D
Explanation:
The cardiac output is said to be the volume of the blood that is pumped by the heart every minute.
It varies according to the demand of the body. It can be calculated by the multiplying the heart rate and strove volume.
The cardiac output of the body changes according to the physical and emotional needs of the people.
Number of heartbeats per minute is known as the heart rate and the volume of blood pumped out with each heart beat is the stoke volume.
If these two are more then the cardiac output is also more.
Perception is the way we interpret our environments and our 5 senses (taste, touch, smell, sight, and sound) and therefore makes sense of everything around us.
Hhmm,well,i will have to go with number 1.
