The monthly utility bills in a city are normally distributed, with a mean of $ 100 100 and a standard deviation of $ 16 16. Find the probability that a randomly selected utility bill is (a) less than $ 68 68, (b) between $ 88 88 and $ 120 120, and (c) more than $ 130 130. (a) The probability that a randomly selected utility bill is less than $ 68 68 is nothing . (Round to four decimal places as needed.) (b) The probability that a randomly selected utility bill is between $ 88 88 and $ 120 120 is nothing . (Round to four decimal places as needed.) (c) The probability that a randomly selected utility bill is more than $ 130 130 is nothing . (Round to four decimal places as needed.)
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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