Classify the conclusion of the significance test as a Type I error, a Type II error, or No error. A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a significance test to determine whether the mean amount is actually less than this. The hypotheses are: H0: μ = 16.1 ounces vs. Ha: μ < 16.1 ounces Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a Type I error, a Type II error, or a correct decision, if in fact the mean amount of juice, μ, is less than 16.1 ounces.