QUESTION IMAGE
Question
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 95% 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 0.11 0.96 1.31 0.52 0.87 what is the confidence interval estimate of the population mean μ? ppm < μ < ppm (round to three decimal places as needed.)
Step1: Calculate sample mean $\bar{x}$
Step2: Calculate sample standard deviation $s$
First, calculate the deviations from the mean:
\((0.56 - 0.716)=- 0.156\), \((0.68 - 0.716)=-0.036\), \((0.11 - 0.716)=-0.606\), \((0.96 - 0.716)=0.244\), \((1.31 - 0.716)=0.594\), \((0.52 - 0.716)=-0.196\), \((0.87 - 0.716)=0.154\)
Then, calculate the sum of squared deviations:
\((-0.156)^{2}+(-0.036)^{2}+(-0.606)^{2}+(0.244)^{2}+(0.594)^{2}+(-0.196)^{2}+(0.154)^{2}\)
\(=0.024336+0.001296 + 0.367236+0.059536+0.352836+0.038416+0.023716\)
\(=0.867372\)
Sample variance \(s^{2}=\frac{0.867372}{7 - 1}\approx0.144562\)
Sample standard deviation \(s=\sqrt{0.144562}\approx0.380\)
Step3: Determine the critical value \(t_{\alpha/2}\)
For a 95% confidence interval and \(n = 7\) (degrees of freedom \(df=n - 1=6\)), \(\alpha=1 - 0.95 = 0.05\), \(\alpha/2=0.025\)
From the \(t\)-distribution table, \(t_{0.025,6}=2.447\)
Step4: Calculate the margin of error \(E\)
\(E=t_{\alpha/2}\frac{s}{\sqrt{n}}=2.447\times\frac{0.380}{\sqrt{7}}\approx2.447\times0.143\approx0.350\)
Step5: Calculate the confidence interval
Lower limit \(=\bar{x}-E=0.716 - 0.350=0.366\)
Upper limit \(=\bar{x}+E=0.716+0.350 = 1.066\)
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\(0.366\) ppm\(<\mu<\)\(1.066\) ppm