Answer:
(a) The manufacturer's claim is NOT overstated.
(b) The assumption of a normal population might be doubtful because the hourly distribution might vary during the day.
Step-by-step explanation:
(a) Let's use one-tailed Hypothesis Testing with:
[tex]H_{0}[/tex]: the population average is 530
α = 0.05
sample number n = 16
population average [tex]$\overline{x}$[/tex] = 530
sample average μ = 510
sample standard deviation σ = 50
If z < 1.645 then the hypothesis [tex]H_{0}[/tex] is valid.
Let's calculate z = [tex]\frac{\overline{x}-\mu}{\sigma/\sqrt{n}}\sqrt{x}[/tex] = [tex]\frac{530-510}{50(4} = 8/5 = 1.6[/tex]
Given that 1.6 < 1.645 then the hypothesis is valid.
Thus the manufacturer's claim is NOT overstated
(b) The hourly distribution might vary along the day. This is why the population might be not necessarily normal.