Answer:
a) [tex]\bar{x} = 18.21[/tex]
b) 1.64
c) (16.57,19.85)
d) The sample size must be 135 or greater if the error must not exceed $1.00.
Step-by-step explanation:
We are given the following information in the question:
Sample size, n = 50
Sample mean = $18.21
population standard deviation = $5.92
a) Point estimate for the population mean cost
[tex]\bar{x} = 18.21[/tex]
b) Margin of error =
[tex]z_{critical}\displaystyle\frac{\sigma}{\sqrt{n}}[/tex]
[tex]z_{critical}\text{ at}~\alpha_{0.05} = 1.96[/tex]
Margin of error = [tex]1.96\displaystyle\frac{5.92}{\sqrt{50}} = 1.64[/tex]
c) 95% Confidence interval
[tex]\mu \pm z_{critical}\displaystyle\frac{\sigma}{\sqrt{n}}[/tex]
Putting the values, we get,
[tex]18.21 \pm 1.64) = (16.57,19.85)[/tex]
d) Marginal error less than $1.00
[tex]1.96\displaystyle\frac{\sigma}{\sqrt{n}} \leq 1\\\\\sqrt{n} \geq 1.96\times 5.92\\n \geq (11.6)^2\\n \geq 134.56 \approx 135[/tex]
Thus, the sample size must be 135 or greater if the error must not exceed $1.00.