The Office of Public Works (OPW) wants to estimate the proportion of "STOP" signs in Sacramento | ||||||||||
that need to be repaired or replaced. The OPW is confident that the proportion is not more than | ||||||||||
20%. If the OPW wants to be 90% confident that the proportion in a random sample will be within | ||||||||||
1 percentage point of the actual proportion that needs repair or replacement, how big should the | ||||||||||
sample be to satisfy the OPW's objectives? |
The following information is provided,
Significance Level, α = 0.1, Margin of Error, E = 0.01
The provided estimate of proportion p is, p = 0.2
The critical value for significance level, α = 0.1 is 1.64.
The following formula is used to compute the minimum sample size
required to estimate the population proportion p within the
required margin of error:
n >= p*(1-p)*(zc/E)^2
n = 0.2*(1 - 0.2)*(1.64/0.01)^2
n = 4303.36
Therefore, the sample size needed to satisfy the condition n
>= 4303.36 and it must be an integer number, we conclude that
the minimum required sample size is n = 4304
Ans : Sample size, n = 4304 or 4303
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