A food safety guideline is that the mercury in fish should be below 1 part per mlon (ppm). Listed below are the amounts of mercury (ppm) found in tuna sushi sampled at dferent stores in a major city. Construct a 99% confidence interval estimate of the mean amount of mercury in the population Does tappear that there is too much mercury in tuna sushi? 0.56 0.68 0.10 0.97 129 0.55 0.95 D What sthe confidence interval estimate of the population mean ? Round to three decimal places as needed) Does kappear that there is too much mercury in tuna sushi? OA Yes, because tis possble that the mean is not greater than 1 ppm Aso, at least o OB. No. because it is not possible that the mean is greater than 1 ppm. Also, at least one of the sample values is less than 1 ppm, so at least some of the fish are safe OC Yes, becausetis possblethat the mean OD. No. because it is possible that the mean is not greater than 1 ppm. Also, at least one of the sample values is less than 1 ppm, so at least some of the fsh are sale aof the sample values exceeds 1 ppm, so at least some of the fah have too much mercury is greater than 1 ppm Also, at least one of the sample values exceads 1 ppm so at least some of the fih have too much marcury

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A food safety guideline is that the mercury in fish should be below 1 part per million (ppm). Listed below are the amounts of mercury (ppm) found in tuna sushi sampled at different stores in a major city. Construct a 99% confidence interval estimate of the mean amount of mercury in the population. Does it appear that there is too
much mercury in tuna sushi?
0.56 0.68 0.10 0.97 1.29 0.55 0.95 -
What is the confidence interval estimate of the population mean p?
O ppm <u<O ppm
(Round to three decimal places as needed.)
Does it appear that there is too much mercury in tuna sushi?
OA. Yes, because it is possible that the mean is not greater than 1 ppm. Also, at least one of the sample values exceeds 1 ppm, so at least some of the fish have too much mercury.
O B. No. because it is not possible that the mean is greater than 1 ppm. Also, at least one of the sample values is less than 1 ppm, so at least some of the fish are safe.
OC. Yes, because it is possible that the mean is greater than 1 ppm. Also, at least ane of the sample values exceeds 1 ppm, so at least some of the fish have too much marcury
OD. No, because it is possible that the mean is not greater than 1 ppm. Also, at least one of the sample values is less than 1 ppm, so at least some of the fish are safe.
Transcribed Image Text:A food safety guideline is that the mercury in fish should be below 1 part per million (ppm). Listed below are the amounts of mercury (ppm) found in tuna sushi sampled at different stores in a major city. Construct a 99% confidence interval estimate of the mean amount of mercury in the population. Does it appear that there is too much mercury in tuna sushi? 0.56 0.68 0.10 0.97 1.29 0.55 0.95 - What is the confidence interval estimate of the population mean p? O ppm <u<O ppm (Round to three decimal places as needed.) Does it appear that there is too much mercury in tuna sushi? OA. Yes, because it is possible that the mean is not greater than 1 ppm. Also, at least one of the sample values exceeds 1 ppm, so at least some of the fish have too much mercury. O B. No. because it is not possible that the mean is greater than 1 ppm. Also, at least one of the sample values is less than 1 ppm, so at least some of the fish are safe. OC. Yes, because it is possible that the mean is greater than 1 ppm. Also, at least ane of the sample values exceeds 1 ppm, so at least some of the fish have too much marcury OD. No, because it is possible that the mean is not greater than 1 ppm. Also, at least one of the sample values is less than 1 ppm, so at least some of the fish are safe.
Expert Solution
Step 1

Given :

sample : 0.56, 0.68, 0.10, 0.97, 1.29, 0.55, 0.95

sample size, n = 7

α = 0.99

x¯ = Xin

x¯ = 0.56+...+0.957

x¯ = 5.17

x¯ = 0.7286

Sample Standard deviation, s = Xi-X¯2n-1

Sample Standard deviation, s = -0.16862+...+0.221427-1

Sample Standard deviation, s = 0.88036

Sample Standard deviation, s = 0.3830

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