A survey of 140 students is selected randomly on a large university campus. They are asked if they use a laptop in class to take notes. The result of the survey is that 56 of the 140 students responded "yes." An approximate 98% confidence interval is (0.304, 0.496). Complete parts a through d below.
a) How would the confidence interval change if the confidence level had been 95% instead of 98%?
b) How would the confidence interval change if the sample size had been 375 instead of 150? (Assume the same sample proportion.)
c) How would the confidence interval change if the confidence level had been 90% instead of 98%?
d) How large would the sample size have to be to make the margin of error one thirdas big in the 98% confidence interval?
a)
CI for = 95%
n = 140
p = 0.4
z-value of 95% CI = 1.9600
SE = sqrt(p*(1-p)/n)
= sqrt(0.4 *(1-0.4)/140) = 0.04140
ME = z*SE
=1.96 * 0.04140 = 0.08115
Lower Limit = p - ME = 0.31885
Upper Limit = p + ME = 0.48115
95% CI (0.3188 , 0.4812 )
b)
CI for = 98%
n = 375
p= 0.1493
z-value of 98% CI = 2.3263
SE = sqrt(p*(1-p)/n)
= 0.01841
ME = z*SE
= 0.04282
Lower Limit = p - ME = 0.10652
Upper Limit = p + ME = 0.19215
98% CI (0.1065 , 0.1922 )
c)
CI for = 90%
n = 140
p = 0.4000
z-value of 90% CI = 1.6449
SE = sqrt(p*(1-p)/n)
= 0.04140
ME = z*SE
= 0.06810
Lower Limit = p - ME = 0.33190
Upper Limit = p + ME = 0.46810
90% CI (0.3319 , 0.4681 )
d)
Given CI Level | 98% |
p | 0.4 |
ME | 0.33 |
z-value of 98% CI | 2.3263 |
n = (z/ME)^2*p*(1-p) | 12 |
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