Researchers have shown that the number of successive days with symptoms after being diagnosed with a particular virus is a random variable that is exponentially distributed with a mean of 9 days. Answer the following questions and round your answers to 4 decimal places as needed. What is the probability that symptoms will remain 12 or more days after being diagnosed with this virus? What is the probability that symtpoms with remain fewer than 3 days after being diagnosed with this virus?
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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