Answer:
(a) standard error of the sulfate in a collection of 10 water samples = .506 mg/L
( b) the probability that their average sulfate will be between 6.49 and 8.47 mg/L = .950 mg/L
(c) We need to assume sample is random and normal sampling distribution probability calculated in (b) to be accurate.
Step-by-step explanation:
Given -
Average sulfate content [tex](\nu )[/tex] = 7.48 mg/L
Standard deviation [tex](\sigma )[/tex] = 1.60 mg/L
(a) standard error of the sulfate in a collection of 10 water samples =
standard error = [tex]{\frac{\sigma}{\sqrt{n}}}[/tex] = [tex]{\frac{1.60}{\sqrt{10}}}[/tex] = .506 mg/L
(b) If 10 students measure the sulfate in their samples, what is the probability that their average sulfate will be between 6.49 and 8.47 mg/L =
[tex]P(6.49\leq \overline{X}\leq 8.47)[/tex] = [tex]P(\frac{6.49 - 7.48 }{\frac{1.60}{\sqrt{10}}}\leq \frac{\overline{X} - \nu }{\frac{\sigma}{\sqrt{n}}}\leq \frac{8.47 - 7.48 }{\frac{1.60}{\sqrt{10}}})[/tex]
= [tex]P(-1.96\leq Z \leq 1.96)[/tex]
= [tex]P( Z\leq 1.96) - P( Z\leq -1.96)[/tex]
= .975 - .025 = .950 mg/L
(c) We need to assume sample is random and normal sampling distribution probability calculated in (b) to be accurate.