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A study considered the question, Are you a registered voter? Accuracy of response was confirmed by a check of city voting r

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Answer #1

TRADITIONAL METHOD
given that,
sample one, x1 =76, n1 =85, p1= x1/n1=0.894
sample two, x2 =67, n2 =90, p2= x2/n2=0.744
I.
standard error = sqrt( p1 * (1-p1)/n1 + p2 * (1-p2)/n2 )
where
p1, p2 = proportion of both sample observation
n1, n2 = sample size
standard error = sqrt( (0.894*0.106/85) +(0.744 * 0.256/90))
=0.057
II.
margin of error = Z a/2 * (standard error)
where,
Za/2 = Z-table value
level of significance, α = 0.05
from standard normal table, two tailed z α/2 =1.96
margin of error = 1.96 * 0.057
=0.111
III.
CI = (p1-p2) ± margin of error
confidence interval = [ (0.894-0.744) ±0.111]
= [ 0.038 , 0.261]
-----------------------------------------------------------------------------------------------
DIRECT METHOD
given that,
sample one, x1 =76, n1 =85, p1= x1/n1=0.894
sample two, x2 =67, n2 =90, p2= x2/n2=0.744
CI = (p1-p2) ± sqrt( p1 * (1-p1)/n1 + p2 * (1-p2)/n2 )
where,
p1, p2 = proportion of both sample observation
n1,n2 = size of both group
a = 1 - (confidence Level/100)
Za/2 = Z-table value
CI = confidence interval
CI = [ (0.894-0.744) ± 1.96 * 0.057]
= [ 0.038 , 0.261 ]
-----------------------------------------------------------------------------------------------
interpretations:
1) we are 95% sure that the interval [ 0.038 , 0.261] contains the difference between
true population proportion P1-P2
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 difference between
true population mean P1-P2
Answers:
a.
difference of proportions p1-p2
option:B
b.
95% sure that the interval [ 0.038 , 0.261]
c.
option:A
because the interval contains only positive numbers ,we can say that there is a higher proportion
of accurate responses in face to face interviews.

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