Final answer:
a) No, because the sample is a simple random sample, the sample proportion is between 10% and 90%, and there are at least 20 "successes" and 20 "failures."
b) The 95% confidence interval for the proportion of "red snapper" packages that were a different kind of fish is (0.303, 0.697).
Step-by-step explanation:
a) The conditions for creating a confidence interval are satisfied based on the given information. The sample is a simple random sample, the sample proportion is between 10% and 90%, and there are at least 20 "successes" and 20 "failures," fulfilling the requirements for constructing a valid confidence interval.
b) To construct the 95% confidence interval, we can use the formula for a confidence interval for a proportion:
is the sample proportion, z is the Z-score for the desired confidence level, and n is the sample size. Plugging in the values, we get a confidence interval of (0.303, 0.697) for the proportion of "red snapper" packages that were a different kind of fish.
c) The confidence interval (0.303, 0.697) indicates that we are 95% confident that the true proportion of "red snapper" packages mislabeled as a different kind of fish in the population falls within this range. In other words, there is a high degree of certainty that between 30.3% and 69.7% of "red snapper" packages sold in the three states were falsely labeled.