The margin of error for the probability is 0.124
The binomial distribution is widely used to simulate the margin of error and number of successes in a large number of observations n drawn under replacement from a single population of size n which can be used to define the margin of error based on the confidence level.
If sampling is done without replacement, drawings are not independent, hence a hypergeometric model rather than a binomial one is utilized as the generative model. However, the binomial distribution is still a good approximation and is routinely used for N much larger than n.
Given n = 100000
Standard deviation (σ)= 20
Confidence level (α) = 0.95
So (1-α) = 1 - 0.95 = 0.05
∴Critical value = Z(α/2) = Z₀.₀₂₅ = 1.96
Calculating the margin of error:
Margin of error
[tex]=Z_{\alpha /2}\times \frac{\rho}{\sqrt n}\\\\1.96 \times \frac{20}{\sqrt100000} \\\\=0.1239..\\\\\approx 0.124[/tex]
Hence the margin of error for the probability is 0.124 .
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