In: Statistics and Probability
Engineers must consider the breadths of male heads when
designing helmets. The company researchers have determined that the
population of potential clientele have head breadths that are
normally distributed with a mean of 6.1-in and a standard deviation
of 1.1-in.
In what range would you expect to find the middle 95% of most head
breadths?
Between and .
If you were to draw samples of size 46 from this population, in
what range would you expect to find the middle 95% of most averages
for the breadths of male heads in the sample?
Between and .
solution
(A)
P(-z < Z < z) = 0.95
P(Z < z) - P(Z < -z) = 0.95
2 P(Z < z) - 1 = 0.95
2 P(Z < z) = 1 + 0. 95= 1.95
P(Z < z) = 1.95/ 2 = 0.975
P(Z <1.96 ) = 0.975
z ±1.96
Using z-score formula
x= z * +
x= -1.96 *1.1+6.1
x= 3.944
z = 1.96
Using z-score formula
x= z * +
x=1.96 *1.1+6.1
x= 8.256
(B)
n = 46
= 6.1
= / n = 1.1 /46=0.1623
P(-z < Z < z) = 0.95
P(Z < z) - P(Z < -z) = 0.95
2 P(Z < z) - 1 = 0.95
2 P(Z < z) = 1 + 0. 95= 1.95
P(Z < z) = 1.95/ 2 = 0.975
P(Z <1.96 ) = 0.975
z ±1.96
Using z-score formula
= z * +
= -1.96 *0.1623+6.1
=5.782
z = 1.96
Using z-score formula
= z * +
=1.96 *0.1623+6.1
=6.418