The average amount of precipitation in a city during the month of March is 2.8 inches. Assume the precipitation follows a bell shaped curve with a standard deviation of 0.9 inches: a. What percentage of time does the amount of rainfall in March less than 3.7 inches? b. A month is classified as extremely dry if the amount of rainfall is the lower 2.5% for that month. How much precipitation must fall at most for a month to be classified as extremely dry?
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!
b. A month is classified as extremely dry if the amount of rainfall is the lower 2.5% for that month. How much precipitation must fall at most for a month to be classified as extremely dry?
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