In: Math
A random sample of 36 individuals were selected from the batch of products to estimate a feature of interest. Suppose that the sample mean is 125 and the standard deviation for this batch is assumed to be 24.
a) construct a 95% confidence interval for the mean value for this feature of the batch.
b) if we want to make the sampling error +/- 7, how many more individuals should be selected to achieve a confidence level 95%?
c) based on the current sample, how confident can you claim that the true value for the mean is between 118 and 132?
Solution :
Given that,
(a)Point estimate = sample mean =
= 125
Population standard deviation =
= 24
Sample size = n =36
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
Margin of error = E = Z/2
* (
/n)
= 1.96* ( 24 / 36
)
= 7.84
At 95% confidence interval estimate of the population mean is,
- E < < + E
125- 7.84 <
< 125 + 7.84
117.16 <
< 132.84
( 117.16 , 132.84 ) (rounded)
(118 and 132)
(b)Margin of error = E = +/ - = 7
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
sample size = n = [Z/2* / E] 2
n = ( 1.96* 24 /7 )2
n =45
Sample size = n =45
(c) 95% confidence interval for the mean value is fall between lower bound 118 and upper bound = 132 than is claim that it is true value of mean