A study of the nutritional value of a certain kind ofbread shows that the amount of thiamine (vitamin B1)in a slice may be looked upon as a random variable with μ = 0.260 milligram and σ = 0.005 milligram. Accord-ing to Chebyshev’s theorem, between what values must be the thiamine content of(a) at least 3536 of all slices of this bread;(b) at least 143144 of all slices of this bread?
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!
bread shows that the amount of thiamine (vitamin B1)
in a slice may be looked upon as a random variable with
ing to Chebyshev’s theorem, between what values must
(a) at least 35
36 of all slices of this bread;
(b) at least 143
144 of all slices of this bread?
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