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 = 0.7. Use = .05. Do not round intermediate calculations.
a)
null hypothesis:Ho μ | = | 16 | ||
Alternate Hypothesis:Ha μ | ≠ | 16 | ||
for 0.05 level with two tail test , critical z= | 1.960 | (from excel:normsinv(0.025) | ||
Decision rule:reject Ho if absolute test stat|z|>1.96 |
sample size n= | 31 | |
std deviation σ= | 0.70 | |
std error ='σx=σ/√n=0.7/√31= | 0.1257 |
rejection region: μ-Zα*σx <Xbar >μ+Zα*σx or 15.754<Xbar>16.246 |
a) probability of making a Type II error :
P(Type II error) =P(15.754<Xbar<16.246|μ=16.5)=P(15.754-16.5)/0.126<z<(16.246-16.5)/0.126)=P(-5.93<z<-2.02)=0.0217 |
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