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Normal distribution - mean, standard deviation?
I'm stuck on a question from my textbook..
6% of the babies to be born in a hospital have a mass of over 3200g and 14% have a mass of less than 2600g. Given the masses are normally distributed, calculate the mean and the standard deviation.
I'm not just looking for an answer, but an explanation on how you did it please. I found the values of Z but I didn't know how to go about finding the mean and standard deviation as they're both unknowns in the equation.
Thank you! :)
3 Answers
- Anonymous10 years agoFavorite Answer
p(x>3200) = 0.06 ==> p(x<3200) = 1 - 0.06 = 0.94
p(x<2600) = 0.14
look up these probabilities in a z table and find the corresponding z values
z(0.94) = 1.555
z(0.14) = -1.08
z = (x-m)/s
1.555 = (3200-m)/s
-1.08 = (2600-m)/s
you have 2 equations with 2 unknowns, solve for m and s
2600-m=-1.08s
3200-m = 600+2600-m = 1.555s
600-1.08s = 1.555s
600 = 2.635s
s = 227.7g
m = (2600 + 1.08s) = 2845.92g
- ?Lv 610 years ago
P[X > 3200] = 0.06
P[Z > (3200-m)/s] = 0.06
(3200-m)/s = 1.555
3200 - m = 1.555s ---- equation 1
Also,
P[X < 2600] = 0.14
P[Z < (2600-m)/s] = 0.14
(2600-m)/s = -1.09
2600 - m = -1.09s --- equation 2
Solve equations 1&2 for m and s.
- GuillermoLv 710 years ago
Let X the be mass of the babies to be born in a hospital.
P(X ⥠3200) = 0.06
P(X ⤠2600) = 0.14
P((X - μx)/Ïx ⥠(3200 - μx)/Ïx) = 0.06
P(Z ⥠z) = 0.06
z = 1.55
1.55 = (3200 - μx)/Ïx
P((X - μx)/Ïx ⤠(2600 - μx)/Ïx) = 0.14
P(Z ⤠- z) = 0.14
z = - 1.08
- 1.08 = (2600 - μx)/Ïx
1.55 = (3200 - μx)/Ïx
Ïx = - (2600 - μx)/1.08
Ïx = (3200 - μx)/1.55
- (2600 - μx)/1.08 = (3200 - μx)/1.55
μx = 2,846
Ïx = (3200 - 2846)/1.55
Ïx = 228
Source(s): Standardized Normal Distribution.