Step-by-step explanation:
a.
Let X be the amount paid by a certain credit card service.
From the details supplied, the X-bar is $485, the standard deviation is $300 and n=900.
By the central limit theorem when the sample size is high, the sample mean fits the normal distribution with the mean μ and the standard deviation function
So the likelihood that the total sum paid on the sample bills is greater than $500 is seen.
[tex]P ( x(bar) > 500 )[/tex] = P ( Z > 1.5 )
= 1 - 0.93319 { From excel function =NORM.DIST(1.5,0,1,TRUE)
= 0.0668
Thus, the probability that the average amount billed on the sample bills is greater than $500 is 0.0668.