Shoe manufacturers must know the distribution of foot size of different age groups to decide demand for different sizes. It is found that foot size of men in Ontario is normally distributed with mean 10.4 inches and a standard deviation 0.6 inches. What proportion of Ontario men will have foot size between 9.9 and 10.9 inches? 0.4048 0.5952 0.7301 0.9522
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!
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0.4048
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0.5952
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0.7301
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0.9522
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