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14. We were interested in the verge pe time for con participating in a drill thevolves in der Ample of winesis takend gives a
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Answer #1

14.

a.
Assume that population is normally distributed
b.
confidence interval
T test for single mean with unknown population standard deviation
TRADITIONAL METHOD
given that,
sample mean, x =24.36
standard deviation, s =19.253
sample size, n =26
I.
standard error = sd/ sqrt(n)
where,
sd = standard deviation
n = sample size
standard error = ( 19.253/ sqrt ( 26) )
= 3.776
II.
margin of error = t α/2 * (standard error)
where,
ta/2 = t-table value
level of significance, α = 0.05
from standard normal table, two tailed value of |t α/2| with n-1 = 25 d.f is 2.06
margin of error = 2.06 * 3.776
= 7.778
III.
CI = x ± margin of error
confidence interval = [ 24.36 ± 7.778 ]
= [ 16.582 , 32.138 ]
-----------------------------------------------------------------------------------------------
DIRECT METHOD
given that,
sample mean, x =24.36
standard deviation, s =19.253
sample size, n =26
level of significance, α = 0.05
from standard normal table, two tailed value of |t α/2| with n-1 = 25 d.f is 2.06
we use CI = x ± t a/2 * (sd/ Sqrt(n))
where,
x = mean
sd = standard deviation
a = 1 - (confidence level/100)
ta/2 = t-table value
CI = confidence interval
confidence interval = [ 24.36 ± t a/2 ( 19.253/ Sqrt ( 26) ]
= [ 24.36-(2.06 * 3.776) , 24.36+(2.06 * 3.776) ]
= [ 16.582 , 32.138 ]
-----------------------------------------------------------------------------------------------
interpretations:
1) we are 95% sure that the interval [ 16.582 , 32.138 ] contains the true population mean
2) If a large number of samples are collected, and a confidence interval is created
for each sample, 95% of these intervals will contains the true population mean

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