A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion and Action H0: = 16 Filling okay, keep running Ha: (not equal) 16 Filling off standard; stop and adjust machine The sample size is 35 and the population standard deviation is = 0.8. Use = .05. What would a Type II error mean in this situation? 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)? What information does the power curve contain for the production manager?
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