In: Statistics and Probability
A forester measured 27 of the trees in a large forest on property that is for sale. He found a mean diameter of 10.4 inches and a standard deviation of 4.7 inches. Suppose that these trees provide an accurate description of the whole forest and that a Normal model applies.Determine:a) the percent of trees that has a diameter between 10.4 and 16.0 inches.b) the percent of trees that has a diameter greater than 16.0 inches. c) the percent of trees that has a diameter between 8.0 and 13.25 inches.d) the percent of trees that has a diameter between 8.0 and 10.0 inches. e) Any tree which has a diameter less than 4.00 inches is considered to be a “Small Tree.” Determine the percent of trees that receive this designation.f) The largest 5% of trees is designated as a “Big Tree”. Determine the diameter that a tree would need to have in order to receive this designation.g) The smallest 5% of trees are given extra nutrients in order to grow. Determine the diameter that a tree would need to have in order to be given the extra nutrients.
µ = 10.4, σ = 4.7
a) P(10.4 < X < 16) =
= P( (10.4-10.4)/4.7 < (X-µ)/σ < (16-10.4)/4.7 )
= P(0 < z < 1.1915)
= P(z < 1.1915) - P(z < 0)
Using excel function:
= NORM.S.DIST(1.1915, 1) - NORM.S.DIST(0, 1)
= 0.3833 = 38.33%
b)
P(X > 16) =
= P( (X-µ)/σ > (16-10.4)/4.7)
= P(z > 1.1915)
= 1 - P(z < 1.1915)
Using excel function:
= 1 - NORM.S.DIST(1.1915, 1)
= 0.1167 = 11.67%
c)
P(8 < X < 13.25) =
= P( (8-10.4)/4.7 < (X-µ)/σ < (13.25-10.4)/4.7 )
= P(-0.5106 < z < 0.6064)
= P(z < 0.6064) - P(z < -0.5106)
Using excel function:
= NORM.S.DIST(0.6064, 1) - NORM.S.DIST(-0.5106, 1)
= 0.4231 = 42.31%
d)
P(8 < X < 10) =
= P( (8-10.4)/4.7 < (X-µ)/σ < (10-10.4)/4.7 )
= P(-0.5106 < z < -0.0851)
= P(z < -0.0851) - P(z < -0.5106)
Using excel function:
= NORM.S.DIST(-0.0851, 1) - NORM.S.DIST(-0.5106, 1)
= 0.1613 = 16.13%
e)
P(X < 4) =
= P( (X-µ)/σ < (4-10.4)/4.7 )
= P(z < -1.3617)
Using excel function:
= NORM.S.DIST(-1.3617, 1)
= 0.0866 = 8.66%
f)
P(x > a) = 0.05
= 1 - P(x < a) = 0.05
= P(x < a) = 0.95
Z score at p = 0.95 using excel = NORM.S.INV(0.95) =1.6449
Value of X = µ + z*σ = 10.4 + (1.6449)*4.7 = 18.13
g)
P(x < a) = 0.05
Z score at p = 0.05 using excel = NORM.S.INV(0.05) =-1.6449
Value of X = µ + z*σ = 10.4 + (-1.6449)*4.7 = 2.67