We are given
x = number of observations of interest = 90,000
n = sample size = 2, 210,000
Population proportion = p = x/n = 90000/2210000 = 0.040724
Population proportion = 0.041
The mean and standard deviation for the sampling distribution of the sample proportion is given as below:
Mean of the sampling distribution of p̂ = p = 0.041
Standard deviation of the sampling distribution of p̂ = sqrt(p*(1 – p)/n)
We are given p = 0.041, n = 1000
Standard deviation of the sampling distribution of p̂ = sqrt(0.041*(1 - 0.041)/1000)
Standard deviation of the sampling distribution of p̂ = 0.00627
Standard deviation of the sampling distribution of p̂ = 0.006
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