You know the phrase “April showers brings may flowers?” According to a local meteorologist, the mean rainfall in a certain area in month of April is 3.59 inches with a standard deviation of 0.14 inches. a) What percent of April’s have between 3.52 and 3.77 inches of rainfall? b) What is the probability that an April has less than 3.43 inches of rain? (Answer this the same way, just leave the answer as a decimal!) c) What is the probability that April has more than 3.71 inches of rain?
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!
| You know the phrase “April showers brings may flowers?” According to a local meteorologist, the mean rainfall in a certain area in month of April is 3.59 inches with a standard deviation of 0.14 inches. |
a) What percent of April’s have between 3.52 and 3.77 inches of rainfall?
b) What is the
c) What is the probability that April has more than 3.71 inches of rain?
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