In: Statistics and Probability
Let x be a random variable that represents white blood cell count per cubic milliliter of whole blood. Assume that x has a distribution that is approximately normal, with mean μ = 6100 and estimated standard deviation σ = 2950. A test result of x < 3500 is an indication of leukopenia. This indicates bone marrow depression that may be the result of a viral infection.
(a) What is the probability that, on a single test, x
is less than 3500? (Round your answer to four decimal
places.)
(b) Suppose a doctor uses the average x for two tests
taken about a week apart. What can we say about the probability
distribution of x?
The probability distribution of x is approximately normal with μx = 6100 and σx = 1475.00. The probability distribution of x is approximately normal with μx = 6100 and σx = 2085.97. The probability distribution of x is approximately normal with μx = 6100 and σx = 2950. The probability distribution of x is not normal.
What is the probability of x < 3500? (Round your answer
to four decimal places.)
(c) Repeat part (b) for n = 3 tests taken a week apart.
(Round your answer to four decimal places.)
(d) Compare your answers to parts (a), (b), and (c). How did the
probabilities change as n increased?
The probabilities decreased as n increased. The probabilities increased as n increased. The probabilities stayed the same as n increased.
If a person had x < 3500 based on three tests, what
conclusion would you draw as a doctor or a nurse?
It would be a common event for a person to have two or three tests below 3,500 purely by chance. The person probably has leukopenia. It would be an extremely rare event for a person to have two or three tests below 3,500 purely by chance. The person probably does not have leukopenia. It would be a common event for a person to have two or three tests below 3,500 purely by chance. The person probably does not have leukopenia. It would be an extremely rare event for a person to have two or three tests below 3,500 purely by chance. The person probably has leukopenia.
Given that
mean (mu) = 6100
standard deviation (sigma) = 2950
(A) using normalcdf
setting lower = -99999
upper = 3500
mean (mu) = 6100
standard deviation (sigma) = 2950
P(X<3500)= nomalcdf(-99999,3500,6100,2950)
= 0.1891
(B)
mean will remain same, so mu = 6100
standard deviation = sd/sqrt{n}
= 2950/sqrt(2)
= 2085.97
The probability distribution of x is approximately normal with μx = 6100 and σx = 2085.97.
using normalcdf
setting lower = -99999
upper = 3500
mean (mu) = 6100
standard deviation (sigma) = 2085.97
P(Xbar<3500)= nomalcdf(-99999,3500,6100,2085.97)
= 0.1063
(C)
using normalcdf
setting lower = -99999
upper = 3500
mean (mu) = 6100
standard deviation (sigma) = 2950/sqrt(3)
P(Xbar<3500)= nomalcdf(-99999,3500,6100,2950/sqrt(3))
= 0.0634
(D) We can see that as n increases from 1 to 3, probability gets decreased from 0.1891 to 0.0634
so, The probabilities decreased as n increased
It would be a common event for a person to have two or three tests below 3,500 purely by chance. The person probably does not have leukopenia.