In: Math
Consider a population having a standard deviation equal to 9.94.
We wish to estimate the mean of this population.
(a) How large a random sample is needed to construct a 95% confidence interval for the mean of this population with a margin of error equal to 1? (Round your answer to the next whole number.)
The random sample is __________ units.
(b) Suppose that we now take a random sample of
the size we have determined in part a. If we obtain a
sample mean equal to 345, calculate the 95% confidence interval for
the population mean. What is the interval’s margin of error?
(Round your answers to the nearest whole
number.)
The 95% confidence interval is
[
, ] .
Margin of error = ____________
Solution :
Given that,
standard deviation =
= 9.94
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2
= Z0.025 = 1.96
(a)
margin of error = E = 1
Sample size = n = ((Z/2
*
) / E)2
= ((1.96 * 9.94) / 1)2
= 379.56 = 380
The random sample is = 380 units .
(b)
= 345
n = 380
Margin of error = E = Z/2* (
/
n)
= 1.96 * (9.94 / 380)
= 1
Margin of error = 1
At 95% confidence interval estimate of the population mean is,
- E <
<
+ E
345 - 1 < < 345 + 1
344 < < 346
(344 , 346)