Federal law requires that a jar of peanut butter that is labeled as containing 32 ounces must contain at least 32 ounces. A consumer advocate feels that a certain peanut butter manufacturer is shorting customers by underfilling jars, so he is testing Ho: H= 32, H. : < 32, where pe=the mean ounces of peanut butter in a 32 ounce jar from this specific manufacturer. You calculate that the power of the test against the alternative Ha: p= 31 is 0.27. Which of the

following is the best interpretation of this value.

1. There is a 0.27 probability of concluding that the true mean is 31 ounces when it is actually

2. The complement of the probability of making a Type I error is 27%

32 ounces.

3. There is a 0.27 probability of concluding that the true mean is 32 ounces when it is actually 32 ounces

4. There is a 0.27 probability of concluding that the true mean is less than 32 ounces when it is actually 31 ounces

5. There is a 0.27 probability of concluding that the true mean is less than 32 ounces when it is actually 32 ounces