In a recent year there were the following numbers ( in thousands) of licensed drivers in the United States. Male Female Total Age 19 and under 4746 4517 9263 Age 20 1625 1553 3178 Age 21 1679 1627 3006 Total 8050 7697 15447 Choose one driver at random. Find the probability that the driver is Age 20 given that the person is a Male 0.202 0.511 0.105 0.2057
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
In a recent year there were the following numbers ( in thousands) of licensed drivers in the United States.
Male Female Total
Age 19 and under 4746 4517 9263
Age 20 1625 1553 3178
Age 21 1679 1627 3006
Total 8050 7697 15447
Choose one driver at random. Find the
-
0.202
-
0.511
-
0.105
-
0.2057
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