Aproduction line operation is tested for filling weight accuracy using the following hypotheses. hypothesis conclusion and actionh0: = 16 filling okay, keep runningha: (not equal) 16 filling off standard; stop and adjust machinethe sample size is 35 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?