Answer:
A sample size of 554 is needed.
Step-by-step explanation:
We have that to find our [tex]\alpha[/tex] level, that is the subtraction of 1 by the confidence interval divided by 2. So:
[tex]\alpha = \frac{1 - 0.95}{2} = 0.025[/tex]
Now, we have to find z in the Ztable as such z has a pvalue of [tex]1 - \alpha[/tex].
That is z with a pvalue of [tex]1 - 0.025 = 0.975[/tex], so Z = 1.96.
Now, find the margin of error M as such
[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]
In which [tex]\sigma[/tex] is the standard deviation of the population and n is the size of the sample.
Standard deviation is known to be $12,000
This means that [tex]\sigma = 12000[/tex]
What sample size do you need to have a margin of error equal to $1000, with 95% confidence?
This is n for which M = 1000. So
[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]
[tex]1000 = 1.96\frac{12000}{\sqrt{n}}[/tex]
[tex]1000\sqrt{n} = 1.96*12[/tex]
Dividing both sides by 1000:
[tex]\sqrt{n} = 1.96*12[/tex]
[tex](\sqrt{n})^2 = (1.96*12)^2[/tex]
[tex]n = 553.2[/tex]
Rounding up:
A sample size of 554 is needed.