For a hypothesis test of the claim that the mean amount of sleep for adults is less than 9 hours, technology output shows that the hypothesis test has power of 0.4038 of supporting the claim that muless than9 hours of sleep when the actual population mean is 8.5 hours of sleep. Interpret this value of the power, then identify the value of beta and interpret that value.

a) probability of choosing the mean amount of sleep for adult as  μ < 9 hours when it is μ = 8.5 hours is 0.4038

b) There is a 0.5962 probability of failing to choose that the mean amount of sleep for adult is  μ < 9 hours when it is μ = 8.5 hours

Step-by-step explanation:

a) Interpret the value of the power

The power of an hypothesis is the probability of rejecting the null hypothesis when the alternative hypothesis is valid. It is a type 1 error

Power = 0.4038

From the hypothesis test,

the null hypothesis, μ = 8.5 hours

Alternative hypothesis, μ < 9 hours

Sine the power is the probability of rejecting the null hypothesis, it means that the probability of choosing the mean amount of sleep for adult as  μ < 9 hours when it is μ = 8.5 hours is 0.4038

b)

Power + β = 1

β = 1 - Power

β = 1 - 0.4038

β = 0.5962

β, type 2 error, is the probability of not rejecting the null hypothesis even when it is false.

It means that there is a 0.5962 probability of failing to choose that the mean amount of sleep for adult is  μ < 9 hours when it is μ = 8.5 hours

1/800 is the right answer

not only in mathematics, scientific proof also are required in the other field of science. also maths proofs are of particular structure, containing steps and logics. so proving is like doing science, it is science. that's why it is important to prove. 

an inaccurate proof leads to errors, or stating results that are not accurate.  which wil mess the probelm up you dont want this