0.75 is easy it is 0 is the whole the # after the 0 is the ths place 7 is the tenths place and the 5 is the hundredths place. and it will be true.
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Failing to reject a false null hypothesis.
A beta error is another term for a type II error, an instance of accepting the null hypothesis when the null hypothesis is false.
True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.
Falling to reject (accepting) a false null hypothesis.
Be able to reject the null hypothesis and accept the research hypothesis