Here are summary statistics for randomly selected weights of newborn girls: n=168, x =28.7 hg, s=6.1 hg. Construct a confidence interval estimate of the mean. Use a 95% confidence level. Are these results very different from the confidence interval 27.2 hg<μ<29.4 hg with only 14 sample values, x =28.3 hg, and s=1.9 hg?
Solution:
Confidence interval for Population mean is given as below:
Confidence interval = Xbar ± t*S/sqrt(n)
From given data, we have
Xbar = 28.7
S = 6.1
n = 168
df = n – 1 = 167
Confidence level = 95%
Critical t value = 1.9743
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 28.7 ± 1.9743*6.1/sqrt(168)
Confidence interval = 28.7 ± 0.9291
Lower limit = 28.7 - 0.9291 = 27.8
Upper limit = 28.7 + 0.9291 =29.6
Confidence interval = (27.8, 29.6)
This interval is not very different from the confidence interval 27.2 hg<μ<29.4 hg, because lower and upper limits for both intervals are very close.
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