The power of a test is 1 minus the probability of a Type II error.
Accept lower p-values (meaning lower in magnitude; values tending toward zero).--And don't forget that by reducing the probability of getting a type I error, you increase the probability of getting a type II error (inverse relationship).
No, it is not true. Probability can be used to describe some properties of the variation but not all.
The probability is 0.005012, approx.
No....the two are mirror images of each other. Reducing type I would increase type II
2%
Accept lower p-values (meaning lower in magnitude; values tending toward zero).--And don't forget that by reducing the probability of getting a type I error, you increase the probability of getting a type II error (inverse relationship).
It is a non existent word: a typographic error: in all likelihood, halfway between probity and probability.
It would help to know the standard error of the difference between what elements.
You need to know the standard deviation or standard error to answer the question.
No, it is not true. Probability can be used to describe some properties of the variation but not all.
Qpsk has lesser bw than dpsk but has more probability in error than dpsk.
The sum of the probability of success and the probability of failure had better equal 1.00 (100%) or an error has been committed.
The relationship between LM (limiting magnitude), TM (telescopic magnitude), and SEM (standard error of measurement) is that LM represents the faintest magnitude observable with the naked eye, TM is the maximum magnitude a telescope can observe, and SEM is a statistical measure of the precision of a measurement. There is no direct mathematical relationship between these terms as they represent different concepts in astronomy and measurement.
The probability is 0.005012, approx.
With probability sampling you have no control over the units that are sampled. So the only way to reduce the margin of error is to increase the size of the sample.
Probability = 10 is a very serious mistake since the probability of any event can never be greater than 1: so a probability of 10 is obviously a big error.
No....the two are mirror images of each other. Reducing type I would increase type II