The probability that sample the proportion of adults with hypertension is greater than 0.5 is 0.090
How to determine the probability?
The given parameters are:
p = 47%
Sample size, n =500
The standard deviation is calculated as:
[tex]\sigma = \sqrt{np(1 - p)[/tex]
So, we have:
[tex]\sigma = \sqrt{500 * 47\%(1 - 47\%)[/tex]
Evaluate
σ = 11.16
The number of adults with hypertension is calculated as:
x = 500 * 0.5 = 250
And the mean is:
μ = 500 * 0.47 = 235
Start by calculating the z-score
[tex]z = \frac{x - \mu}{\sigma}[/tex]
This gives
[tex]z = \frac{250 - 235}{11.16}[/tex]
Evaluate
z = 1.34
The probability is then calculated as:
P(z >1.34) = ??
From z table of probabilities, we have:
P(z >1.34) = 0.090
Hence, the probability that sample the proportion of adults with hypertension is greater than 0.5 is 0.090
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