Answer:
Confidence Interval: (0.44,1.00)
Step-by-step explanation:
We are given the following data set:
0.60, 0.74, 0.09, 0.89, 1.31, 0.51, 0.94
Formula:
[tex]\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}[/tex]
where [tex]x_i[/tex] are data points, [tex]\bar{x}[/tex] is the mean and n is the number of observations.
[tex]Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}[/tex]
[tex]Mean =\displaystyle\frac{:5.08}{7} = 0.725[/tex]
Sum of squares of differences = 0.8809
[tex]S.D = \sqrt{\frac{0.8809}{6}} = 0.383[/tex]
90% Confidence interval:
[tex]\bar{x} \pm t_{critical}\displaystyle\frac{s}{\sqrt{n}}[/tex]
Putting the values, we get,
[tex]t_{critical}\text{ at degree of freedom 6 and}~\alpha_{0.10} = \pm 1.943[/tex]
[tex]0.725 \pm 1.943(\frac{0.383}{\sqrt{7}} ) =0.725 \pm 0.2812 = (0.44,1.00)[/tex]
No, it does not appear that there is too much mercury in tuna sushi.