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An environmental scientist wants to estimate the mean mercury content in ppm of fish in a lake. They collect a random sample of 50 fish from the lake, measure the mercury content of each, calculate the average mercury content for these 50 fish and a 99% confidence interval for the mean. The confidence interval is (0.82, 1.13). Which of the following are valid interpretations of the confidence interval?
I) We are 99% certain that each fish has approximately 0.82 to 1.13 ppm of mercury.
II) We expect 99% of the fish to have between 0.82 and 1.13 ppm of mercury.
III) We would expect about 99% of all possible sample means from this population to be in between 0.82 and 1.13 ppm of mercury.
IV) We are 99% certain that the confidence interval of (0.82, 1.13) includes the true mean of the mercury content of fish in the lake.
Please explain your reasoning.
q.businesses have to make many financial decisions that have a direct impact on operations and the ability to
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