At a customer service call center for a large company, the number of calls received per hour is normally distributed with a mean of 140 calls and a standard deviation of 5 calls. What is the probability that during a given hour of the day there will be between 133 calls and 137 calls, to the nearest thousandth?
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!
At a customer service call center for a large company, the number of calls received per hour is
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
