For a recent 10k run the finishers are normally distributed
Solution
A.
We first get the z score for the two values. As z = (x - u) sqrt(n) / s, then as
x1 = lower bound = 45
x2 = upper bound = 75
u = mean = 62
n = sample size = 1
s = standard deviation = 12
Thus, the two z scores are
z1 = lower z score = -1.416666667
z2 = upper z score = 1.083333333
Using table/technology, the left tailed areas between these z scores is
P(z < z1) = 0.078290204
P(z < z2) = 0.860669753
Thus, the area between them, by subtracting these areas, is
P(z1 < z < z2) = 0.782379549 = 78.24%
****************************
b.
We first get the z score for the critical value. As z = (x - u) sqrt(n) / s, then as
x = critical value = 80
u = mean = 62
n = sample size = 1
s = standard deviation = 12
Thus,
z = 1.5
Thus, using a table/technology, the left tailed area of this is
P(z > 1.5 ) = 0.933192799 = 93.32%
******************************
C.
First, we get the z score from the given left tailed area. As
Left tailed area = 0.35
Then, using table or technology,
z = -0.385320466
As x = u + z * s / sqrt(n)
where
u = mean = 62
z = the critical z score = -0.385320466
s = standard deviation = 12
n = sample size = 1
Then
x = critical value = 57.3761544 [ANSWER]
***********************************
First, we get the z score from the given left tailed area. As
Left tailed area = 0.7
Then, using table or technology,
z = 0.524400513
As x = u + z * s / sqrt(n)
where
u = mean = 62
z = the critical z score = 0.524400513
s = standard deviation = 12
n = sample size = 1
Then
x = critical value = 68.29280615 [ANSWER]

