Answer
we have
(mean and standard deviation given in the question)
(A) we have to find the probability of a length stay between 50 and 90 days
using the formula

where x1 = 50, x2 = 90 and
setting the values, we get

on solving, we get

we can write it as
using the identity
So, we get
![P(-0.67<z<2) = P(z<2)-[1-P(z<0.67)]](http://img.homeworklib.com/questions/9bf98ec0-a3eb-11ec-85d2-83902868ac07.png?x-oss-process=image/resize,w_560)
now using z distribution table to get the required p values, we get
![P(-0.67<z<2) = 0.9772-[1-0.7486] = 0.9772+07486 - 1 = 0.7258](http://img.homeworklib.com/questions/9c51d380-a3eb-11ec-95d0-674160668a10.png?x-oss-process=image/resize,w_560)
So, the required probability is 0.7258
(b) We have to find the probability that the length stay is more than 110 days
i.e. we have to find the value of
using the formula
setting x = 110,
we get

on solving, we get

using the identity
we can write it as

using the z distribution, we get
So, the required probability
Required probability is 0.0004
(C) z score corresponding to the lower 5% of the data is -1.64 using z table
We have the formula for the z
z =
where z= -1.64,
and we have to find the value of x(bar)
we get
-1.64 = (x-60)/15
multiplying both sides by 15, we get
-1.64*15 = x- 60........................(15/15 = 1 on the right hand side)
-24.6 = x- 60, adding 60 on each side, we get
60-24.6 = x ........................( -60+60 = 0 on right hand side)
we get
x = 35.4
So, the cutoff length of stay is 35.4 days
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