In preparing a report on the economy, we need to estimate the percentage of businesses that plan to hire additional employees in the next 60 days.
a) How many randomly selected employers must we contact in order to create an estimate in which we are 98% confident with a margin of error of 88%?
b) Suppose we want to reduce the margin of error to 55%. What sample size will suffice?
c) Why might it not be worth the effort to try to get an interval with a margin of error of 11%?
Solution :
Given that,
= 1 -
= 0.5
a) margin of error = E = 0.08
At 98% confidence level
= 1 - 98%
=1 - 0.98 =0.02
/2
= 0.01
Z/2
= 2.326
sample size = n = (Z
/ 2 / E )2 *
* (1 -
)
= (2.326 / 0.08)2 * 0.5 * 0.5
= 211.33
sample size = n = 212
b) margin of error = E = 0.05
sample size = n = (Z
/ 2 / E )2 *
* (1 -
)
= (2.326 / 0.05)2 * 0.5 * 0.5
= 541.02
sample size = n = 542
b) margin of error = E = 0.01
sample size = n = (Z
/ 2 / E )2 *
* (1 -
)
= (2.326 / 0.01)2 * 0.5 * 0.5
= 13525.69
sample size = n = 13526
In preparing a report on the economy, we need to estimate the percentage of businesses that plan to hire additional emp...
In preparing a report on the economy, we need to estimate the
percentage of businesses that plan to hire additional employees in
the next 60 days.
a) How many randomly selected employers must we contact in
order to create an estimate in which we are 99% confident with a
margin of error of 99%?
b) Suppose we want to reduce the margin of error to 44%. What
sample size will suffice?
c) Why might it not be worth the effort...
(Round up to the nearest whole number.)
I need help with A,B and C Thank you
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