Answer:
Probability that the sample mean would be less than 23,013 dollars is 0.2358.
Step-by-step explanation:
We are given that the mean per capita income is 23,037 dollars per annum with a variance of 149,769.
Also, a sample of 134 persons is randomly selected.
Firstly, Let [tex]\bar X[/tex] = sample mean
The z-score probability distribution for sample mean is given by;
Z = [tex]\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }[/tex] ~ N(0,1)
where, [tex]\mu[/tex] = population mean per capita income = 23,037 dollars p.a.
[tex]\sigma[/tex] = standard deviation = [tex]\sqrt{Variance}[/tex] = [tex]\sqrt{149,769}[/tex] = 387 dollars p.a
n = sample of persons = 134
So, probability that the sample mean would be less than 23,013 dollars is given by = P([tex]\bar X[/tex] < 23,013 dollars)
P([tex]\bar X[/tex] < 23,013) = P( [tex]\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }[/tex] < [tex]\frac{23,013-23,037}{\frac{387}{\sqrt{134} } }[/tex] ) = P(Z < -0.72) = 1 - P(Z [tex]\leq[/tex] 0.72)
= 1 - 0.7642 = 0.2358
The above probability is calculated using the z-score table.
Therefore, probability that the sample mean would be less than 23013 dollars if a sample of 134 persons is randomly selected is 0.2358.