In: Statistics and Probability
[9 Marks]
a)
sample mean, xbar = 356
sample standard deviation, σ = 44
sample size, n = 256
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, Zc = Z(α/2) = 1.96
ME = zc * σ/sqrt(n)
ME = 1.96 * 44/sqrt(256)
ME = 5.39
CI = (xbar - Zc * s/sqrt(n) , xbar + Zc * s/sqrt(n))
CI = (356 - 1.96 * 44/sqrt(256) , 356 + 1.96 * 44/sqrt(256))
CI = (350.61 , 361.39)
b)
sample mean, xbar = 356
sample standard deviation, σ = 44
sample size, n = 256
Given CI level is 90%, hence α = 1 - 0.9 = 0.1
α/2 = 0.1/2 = 0.05, Zc = Z(α/2) = 1.64
ME = zc * σ/sqrt(n)
ME = 1.64 * 44/sqrt(256)
ME = 4.51
CI = (xbar - Zc * s/sqrt(n) , xbar + Zc * s/sqrt(n))
CI = (356 - 1.64 * 44/sqrt(256) , 356 + 1.64 * 44/sqrt(256))
CI = (351.49 , 360.51)
c)
As we decrease the confidence level th einterval would be narrower