In a certain population of the parasite Trypanosoma, the lengths of individuals are distributed as indicated by the density curve shown here. Areas under the curve are shown in the figure. Consider the length of an individual trypanosome chosen at random from the population. Find (a) Pr{20 < length < 30} (b) Pr{length > 20} (c) Pr{length < 20}
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 certain population of the parasite Trypanosoma,
the lengths of individuals are distributed as indicated by
the density curve shown here. Areas under the curve are
shown in the figure.
Consider the length of an individual trypanosome chosen
at random from the population. Find
(a) Pr{20 < length < 30}
(b) Pr{length > 20}
(c) Pr{length < 20}
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