In: Statistics and Probability
Here are summary statistics for randomly selected weights of newborn girls:
n=161,
x=28.1
hg,
s=7.8
hg. Construct a confidence interval estimate of the mean. Use a
95%
confidence level. Are these results very different from the confidence interval
25.9
hg<μ<29.5
hg with only
15
sample values,
x=27.7
hg, and
s=3.3
hg?What is the confidence interval for the population mean
μ?
nothing
hg<μ<nothing
hg (Round to one decimal place as needed.)
Are the results between the two confidence intervals very different?
A.
Yes, because one confidence interval does not contain the mean of the other confidence interval.
B.
Yes, because the confidence interval limits are not similar.
C.
No, because each confidence interval contains the mean of the other confidence interval.
D.
No, because the confidence interval limits are similar.
Solution:
Note that, Population standard deviation() is unknown. So we use t distribution.
Our aim is to construct 95% confidence interval.
c = 0.95
= 1- c = 1- 0.95 = 0.05
/2 = 0.05 2 = 0.025
Also, d.f = n - 1 = 161 - 1 = 160
= = 0.025,160 = 1.975
( use t table or t calculator to find this value..)
The margin of error is given by
E = /2,d.f. * ( / n )
= 1.975 * (7.8 / 161)
= 1.2
Now , confidence interval for mean() is given by:
( - E ) < < ( + E)
(28.1 - 1.2) < < (28.1 + 1.2)
26.9 < < 29.3
C. No, because each confidence interval contains the mean of the other confidence interval.