A survey is planned to determine what proportion of high-school students in a metropolitan school system have regularly smoked marijuana. The school administrators would like to estimate the proportion with 95 % confidence and a margin of error of no more than 4%.
Note: Don't forget the rounding rule discussed in class for sample sizes!
The following information is provided,
Significance Level, α = 0.05, Margin of Error, E = 0.04
The provided estimate of proportion p is, p = 0.3103
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 proportion p within the
required margin of error:
n >= p*(1-p)*(zc/E)^2
n = 0.3103*(1 - 0.3103)*(1.96/0.04)^2
n = 513.85
Therefore, the sample size needed to satisfy the condition n
>= 513.85 and it must be an integer number, we conclude that the
minimum required sample size is n = 514
Ans : Sample size, n = 514
The following information is provided,
Significance Level, α = 0.05, Margin of Error, E = 0.04
The provided estimate of proportion p is, p = 0.5
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 proportion p within the
required margin of error:
n >= p*(1-p)*(zc/E)^2
n = 0.5*(1 - 0.5)*(1.96/0.04)^2
n = 600.25
Therefore, the sample size needed to satisfy the condition n
>= 600.25 and it must be an integer number, we conclude that the
minimum required sample size is n = 601
Ans : Sample size, n = 601
A larger sample size would be required.
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