The heights of women aged 20 to 29 follow approximately the (64, 2.7) distribution. Men of the same age have heights distributed (69.3, 2.8) . You want the cutoff height for the top 15 percent of men. What would be that cutoff? What interval of heights would contain the middle 80 percent of women?
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!
The heights of women aged 20 to 29 follow approximately the (64, 2.7)
distribution. Men of the same age have heights distributed (69.3, 2.8) .
You want the cutoff height for the top 15 percent of men. What would be that cutoff?
What interval of heights would contain the middle 80 percent of women?
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