In: Math
Normal |
|
mu |
722 |
sigma |
189 |
xi |
P(X<=xi) |
151 |
0.0013 |
263 |
0.0076 |
532 |
0.1574 |
721 |
0.4979 |
810 |
0.6793 |
961 |
0.8970 |
P(X<=xi) |
xi |
0.11 |
490.1862 |
0.12 |
499.9275 |
0.24 |
588.5088 |
0.31 |
628.2843 |
0.38 |
664.2641 |
0.76 |
855.4912 |
0.89 |
953.8138 |
Use the cumulative normal probability excel output above (dealing
with the amount of money parents spend per child on back-to-school
items) to answer the following question.
The probability is 0.38 that the amount spent on a randomly
selected child will be between two values (in $) equidistant from
the mean. The lower of these equidistant points is provided in the
excel output above. Use the lower endpoint and some math to find
the upper endpoint.
Here the probability is 0.38 that the the amount spent on a randomly selectted child will be between two values (in $) equidistant from the mean.
that mean the probability values are
for lower endpoint = 0.50 - 0.38/2 = 0.31
for upper endpoint = 0.50 + 0.38/2 = 0.69
here for 0.31, the lower end point is = 628.2843
Now as we know that Z value for lower end point is
Z = -0.49585 = (628. 2843 - )/ ...(i)
now to find the value of normal distribution parameter
we will take one more value let say
P(X < = xi) = 0.76 for x = 855.4912
so Z value = 0.7063 = (855.4912 - )/ ...(ii)
now doing (ii)/(i)
0.7063/0.49585 = ( - 855.4912) / (628. 2843 - )
1.42443 * (628. 2843 - ) = ( - 855.4912)
2.42443 = 1750.436
= 722
= (855.4912 - )/0.7063 = 189
so here
for cumulative distribuition function F(Z) = 0.69
so here Z value for the given is = 0.49585
so here
upper endpoint = 722 + 0.49585 * 189 = 815.7157
Lower endpoint = 628.2843
Upper endpoint = 815.7157