Consider the following hypothesis test.
H0: μ ≥ 10
Ha: μ < 10
The sample size is 125 and the population standard deviation is assumed known with σ = 5. Use α = 0.05.
(a) If the population mean is 9, what is the probability that the sample mean leads to the conclusion do not reject H0? (Round your answer to four decimal places.)
(b) What type of error would be made if the actual population mean is 9 and we conclude that H0: μ ≥ 10 is true?
(c) What is the probability of making a type II error if the actual population mean is 8? (Round your answer to four decimal places. If it is not possible to commit a type II error enter NOT POSSIBLE.)
a)
for 0.05 level with left tail test , critical z= | -1.645 |
sample size n= | 125.00 |
std deviation σ= | 5.000 |
std error ='σx=σ/√n= | 0.4472 |
rejection region: Xbar <=μ+Zα*σx or Xbar<=10-1.645*0.4472 = | 9.2643 |
P(Type II error) =P(Xbar>9.264|μ=9)=P(Z>(9.2643-9)/0.447)=P(Z>0.59)= | 0.2776 |
(please try 0.2773 if this comes wrong)
b)
type II error , since we fail to reject a false null hypothesis
c)
P(Type II error) =P(Xbar>9.264|μ=8)=P(Z>(9.2643-8)/0.447)=P(Z>2.83)= | 0.0023 |
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