On the normal curve, about 68% (+/-1 Standard Deviation) of these cars will have fuel efficiency from 28.8 to 31.2. The definition of "normal distribution" tells us that 34% of random selections are within -1 Standard Deviation from the mean, while another 34% of random selections are within +1 Standard Deviation. Thus, mpgs greater than 32 mpg are +2 or more Standard Deviations from the mean.
A simple way of thinking about & estimating your answer is this:
100% (the entire normal curve) minus 84% (the part of the curve that is below the the +2 Standard Deviation) leaves 16%, which represents all random mpgs that are within the +2 Standard Deviation or higher. The lowest part of the +2 Standard Deviation is not actually high enough to exceed 32 mpg - these mpgs are higher than 31.2 - so we're probably talking about approximately 15% or less of the normal curve exceeding 32 mpg.
Using this estimate of 15%, one can assume that you have a 15% chance of randomly selecting one car exceeding 32 mpg efficiency.
Randomly selecting two such cars, however, will be quite unlikely - 15% times 15%, or 2.25%.
Three such random selections will be even more unlikely - 15% times 15% times 15%, or 0.3375%.
Thus, when making random selections of three cars, 99.6625% of those three-car selections will include at least one car with 32mpg or less. Remember that, because we are selecting randomly from a "normal distribution," about 85% of all these cars will have an mpg of 32 or less.
To compute the exact percentage based upon exactly 32 mpg, I believe you would use the one-tailed t distribution chart. I hope this helps - good luck!