Use @RISK to draw a normal distribution with mean500 and standard deviation 100. Then answer the following questions.a. What is the probability that a random number fromthis distribution is less than 450?b. What is the probability that a random number fromthis distribution is greater than 650?c. What is the probability that a random number fromthis distribution is between 500 and 700?
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!
Use @RISK to draw a
500 and standard deviation 100. Then answer the following questions.
a. What is the
this distribution is less than 450?
b. What is the probability that a random number from
this distribution is greater than 650?
c. What is the probability that a random number from
this distribution is between 500 and 700?
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