In: Statistics and Probability
The drive distance (in yards) for professional golfers is
normally distributed with a mean of 277.21 yards and a standard
deviation of 5.879 yards.
a. Between what two values would we expect 95% of Bubba Watson's
drive distances to fall?
between_____________and__________ yards
b. What percentage of golfers has a drive distance between 280 and
305 yards?
z1 =______________
z2 =______________
percentage = _________________ % (make sure to change your decimal
to a percentage!)
c. The top 14% of golfers have drive distances of what
length?
z = __________
distance = ________ yards
Solution :
Given that ,
mean = = 277.21
standard deviation = = 5.879
a) Using standard normal table,
P( -z < Z < z) = 95%
= P(Z < z) - P(Z <-z ) = 0.95
= 2P(Z < z) - 1 = 0.95
= 2P(Z < z) = 1 + 0.95
= P(Z < z) = 1.95 / 2
= P(Z < z) = 0.975
= P(Z < 1.96) = 0.975
= z ± 1.96
Using z-score formula,
x = z * +
x = -1.96 * 5.879 + 277.21
x = 265.69
Using z-score formula,
x = z * +
x = 1.96 * 5.879 + 277.21
x = 288.73
The 95 % values between 265.69 and 288.73 yards
b) P(280 < x < 305 ) = P[(280 - 277.21) / 5.879) < (x - ) / < (305 - 277.21) / 5.879) ]
= P( 0.47 < z < 4.73)
= P(z < 4.73) - P(z < 0.47)
Using z table,
= 1 - 0.6808
= 0.3192
Z1 = 4.73
Z2 = 0.47
The percentage is = 31.92%
c) Using standard normal table,
P(Z > z) = 14%
= 1 - P(Z < z) = 0.14
= P(Z < z) = 1 - 0.14
= P(Z < z ) = 0.86
= P(Z < 1.08) = 0.86
z = 1.08
Using z-score formula,
x = z * +
x = 1.08 * 5.879 + 277.21
x = 283.56
z = 1.08
distance = 283.56 yards