A random sample of
nequals=12
values taken from a normally distributed population resulted in the sample values below. Use the sample information to construct
aa
95%
confidence interval estimate for the population mean.
114114 |
104104 |
9191 |
109109 |
9696 |
104104 |
114114 |
100100 |
102102 |
103103 |
9494 |
108108 |
|
The
95%
confidence interval is from
$nothing
to
$nothing
Solution:
Confidence interval for Population mean
Confidence interval = Xbar ± t*S/sqrt(n)
From given data, we have
Xbar = 103.25
S = 7.31281565
n = 12
df = n – 1 = 12 – 1 = 11
Confidence level = 95%
Critical t value = 2.2010
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 103.25 ± 2.2010*7.31281565/sqrt(12)
Confidence interval = 103.25 ± 2.2010*2.111028042
Confidence interval = 103.25 ± 4.6463
Lower limit = 103.25 - 4.6463 = 98.6037
Upper limit = 103.25 + 4.6463 = 107.8963
The 95% confidence interval is from 98.6037 to 107.8963.
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