for the given significance test, explain the meaning of a type i error, a type ii error, or a correct decision as specified. a manufacturer claims that the mean amount of juice in its 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 ha: μ < 16.1 ounces explain the meaning of a type i error.