In: Statistics and Probability
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 36 and the population standard deviation is = 0.9. 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?