In: Economics
A production line operation is tested for filling weight accuracy using the following hypotheses.
Hypothesis Conclusion
and Action
H 0: =
16 Filling okay,
keep running
H a: 16
Filling off standard; stop and adjust machine
The sample size is 31 and the population standard deviation is = 1. Use = .05. Do not round intermediate calculations.
What is the probability of making a Type II error when the
machine is overfilling by .5 ounces (to 4 decimals)?
What is the power of the statistical test when the machine is
overfilling by .5 ounces (to 4 decimals)?
Given data
n=33
population standard deviation () = 1
significance level () =0.05
To find the Type II error mean in this situation:
Concluding that the mean filling weight is 16 ounces when it actually is n't
To find the probability of making a Type II error when the machine is overfilling by .5 ounces:
lower cut off sample mean=
upper cut off sample mean=
when true mean is 16.5
P(type II error)=P(-4.83 =P(z<-0.91)-P(z<-4.83) = (1−P ( Z<0.91 )) - (1-p(Z<4.83) = (1-0.8186) -( 1-1) = 0.1814 P(type II error) = 0.1814 To find the power of the statistical test when the machine is
overfilling by .5 ounces: Power=1-P(type II error) =1-0.1814 =0.8186 Therefore the power of the statistical test when the machine is
overfilling by .5 ounces is 0.8186