At a large publishing company, the mean age of proof readers is 36.2 years, and the standard deviation is 3.7 years. Assume the variable is normally distributed. a. If the proof reader from the company is randomly selected, find the probability that his or her age will be between 36 and 37.5 years. b. If a random sample of 15 proof readers is selected, find the probability that the mean age of the proof readers in the sample will be between 36 and 37.5 years.
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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