Answer:
Different values of margin of error for different significance level.
Step-by-step explanation:
We are given the following in the question:
p = 90% = 0.9
Sample size, n 790
We have to find the margin of error.
Formula:
[tex]z_{stat}\sqrt{\dfrac{p(1-p)}{n}}[/tex]
[tex]z_{critical}\text{ at}~\alpha_{0.05} = 1.96[/tex]
Putting values, we get,
[tex]ME = \pm 1.96\sqrt{\dfrac{0.9(1-0.9)}{790}}\\\\ME = \pm 0.021[/tex]
[tex]z_{critical}\text{ at}~\alpha_{0.10} = 1.64[/tex]
[tex]ME = \pm 1.64\sqrt{\dfrac{0.9(1-0.9)}{790}}\\\\ME =\pm 0.018[/tex]
[tex]z_{critical}\text{ at}~\alpha_{0.10} = 2.58[/tex]
[tex]ME =\pm 2.58\sqrt{\dfrac{0.9(1-0.9)}{790}}\\\\ME =\pm 0.028[/tex]