Final answer:
Constructing a 95% confidence interval for the mean amount of mercury in tuna sushi involves calculating the sample mean, standard deviation, finding the appropriate t-value, and using these to compute the margin of error and the interval itself. If the interval exceeds 1 ppm, it could indicate a potential health risk.
Step-by-step explanation:
To construct a 95% confidence interval estimate of the mean amount of mercury in tuna sushi, we need to first compute the sample mean (μ) and the standard deviation (s) from the provided data. Then we can use the t-distribution since the sample size is small and we assume the population standard deviation is unknown.
The provided mercury levels in ppm are: 0.53, 0.74, 0.10, 0.95, 1.20, 0.53, 0.90.
- Calculate the sample mean (μ): (μ = (0.53 + 0.74 + 0.10 + 0.95 + 1.20 + 0.53 + 0.90) / 7).
- Calculate the sample standard deviation (s).
- Find the t-value for a 95% confidence interval with 6 degrees of freedom (n-1).
- Calculate the margin of error (ME) using the formula: ME = t * (s / √(n)).
- The confidence interval is then μ ± ME.
After calculation, if the interval exceeds 1 ppm, it would indicate that the mean level of mercury could be concerning according to the food safety guidelines.