We have the range of values is 12 to 18.

Assume that the mean is 16. We can approximate the standard deviation using the range rule -- `s~~"range"/4` so `s~~1.5`

(1) If there is no other information given we would assume that the drive times were approximately normally distributed. So draw a bell curve with the peak at x=16 and standard deviation 1.5

(2) Find P(X<14)

Converting to a z-score we get `z=(14-16)/1.5=-1.bar(3)`

Then P(x<14)=P(z<-4/3). Consulting the standard normal table or a calculator, we find the area of the curve to the left of z=-4/3 (and thus the probability of a random z being in this area) is approximately .0912 .

**The probability of a trip taking less than 14 minutes is about 9%.**

(3) Find P(x>19)

Convert 19 to a z-score: `z=(19-16)/1.5=2`

Then P(x>19)=P(z>2) Again consulting the standard normal table we find P(z>2) is approximately .0228

**The probability of a trip lasting more than 19 minutes is about 2%**