Let x be a random vatiable that represents white blood cell count per cubic milliliter of whole blood. Assume that x has a dustribution that is approximately normal, with mean 6100 and estimated standard deviation 1950. A test result of x<3500 is an indication of leukopenia. What is the probability that on a single test, x is less than 3500.
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!
Let x be a random vatiable that represents white blood cell count per cubic milliliter of whole blood. Assume that x has a dustribution that is approximately normal, with mean 6100 and estimated standard deviation 1950. A test result of x<3500 is an indication of leukopenia. What is the
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