A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion and Action Ho: = 16 Filling okay, keep running Ha: µ # 16 Filling off standard;...


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:     16
Filling off standard; stop and adjust machine

The sample size is 37 and the population standard deviation is  = 0.7. Use  = .05. Do not round intermediate calculations.


A production line operation is tested for filling weight accuracy using the following hypotheses.<br>Hypothesis<br>Conclusion and Action<br>Ho:<br>= 16<br>Filling okay, keep running<br>Ha: µ # 16<br>Filling off standard; stop and adjust machine<br>The sample size is 37 and the population standard deviation is o = 0.7. Use a = .05. Do not round intermediate calculations.<br>a. What would a Type II error mean in this situation?<br>Select<br>b. What is the probability of making a Type II error when the machine is overfilling by .5 ounces (to 4 decimals)?<br>c. What is the power of the statistical test when the machine is overfilling by .5 ounces (to 4 decimals)?<br>d. Choose the power curve for this hypothesis test.<br>A.<br>1.00<br>.75<br>Power<br>.50<br>.25<br>.00<br>15.6 15.8 16.0 16.2<br>16.4<br>Possible Values of u<br>

Extracted text: A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion and Action Ho: = 16 Filling okay, keep running Ha: µ # 16 Filling off standard; stop and adjust machine The sample size is 37 and the population standard deviation is o = 0.7. Use a = .05. Do not round intermediate calculations. a. What would a Type II error mean in this situation? Select b. What is the probability of making a Type II error when the machine is overfilling by .5 ounces (to 4 decimals)? c. What is the power of the statistical test when the machine is overfilling by .5 ounces (to 4 decimals)? d. Choose the power curve for this hypothesis test. A. 1.00 .75 Power .50 .25 .00 15.6 15.8 16.0 16.2 16.4 Possible Values of u
1.00<br>.75<br>Power<br>.50<br>.25<br>.00<br>15.6<br>15.8<br>16.0 16.2 16.4<br>Possible Values of u<br>C.<br>1.00<br>.75<br>Power<br>.50<br>.25<br>.00<br>15.6 15.8 16.0 16.2 16.4<br>Possible Values of u<br>Select<br>What information does the power curve contain for the production manager?<br>The probability of rejecting<br>v the alternative v hypothesis for various mean filling weights.<br>B.<br>

Extracted text: 1.00 .75 Power .50 .25 .00 15.6 15.8 16.0 16.2 16.4 Possible Values of u C. 1.00 .75 Power .50 .25 .00 15.6 15.8 16.0 16.2 16.4 Possible Values of u Select What information does the power curve contain for the production manager? The probability of rejecting v the alternative v hypothesis for various mean filling weights. B.

Jun 10, 2022
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