a)
sample proportion, = 0.8807
sample size, n = 352
Standard error, SE = sqrt(pcap * (1 - pcap)/n)
SE = sqrt(0.8807 * (1 - 0.8807)/352) = 0.0173
Given CI level is 99%, hence α = 1 - 0.99 = 0.01
α/2 = 0.01/2 = 0.005, Zc = Z(α/2) = 2.58
Margin of Error, ME = zc * SE
ME = 2.58 * 0.0173
ME = 0.0446
CI = (pcap - z*SE, pcap + z*SE)
CI = (0.8807 - 2.58 * 0.0173 , 0.8807 + 2.58 * 0.0173)
CI = (0.836 , 0.925)
b)
yes, the interval is not contains 0.95
2)
a)
The following information is provided,
Significance Level, α = 0.05, Margin or Error, E = 1, σ = 10.05
The critical value for significance level, α = 0.05 is 1.96.
The following formula is used to compute the minimum sample size
required to estimate the population mean μ within the required
margin of error:
n >= (zc *σ/E)^2
n = (1.96 * 10.05/1)^2
n = 388.01
Therefore, the sample size needed to satisfy the condition n
>= 388.01 and it must be an integer number, we conclude that the
minimum required sample size is n = 389
Ans : Sample size, n = 389
b)
sample mean, xbar = 252
sample standard deviation, σ = 10.05
sample size, n = 389
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 * 10.05/sqrt(389)
ME = 1
CI = (xbar - Zc * s/sqrt(n) , xbar + Zc * s/sqrt(n))
CI = (252 - 1.96 * 10.05/sqrt(389) , 252 + 1.96 *
10.05/sqrt(389))
CI = (251 , 253)
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