the manufacturer of a laser printer reports the mean number of pages a cartridge will print before it needs replacing is 12,375. The distribution of pages printed per cartridge closely follows the normal probability distribution and the standard deviation is 645 pages. The manufacturer wants to provide guidelines to potential customers as to how long they can expect a cartridge to last. How many pages should the manufacturer advertise for each cartridge if it wants to be correct 90% of the time? Explain how to find z in the chart please.
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!
the manufacturer of a laser printer reports the mean number of pages a cartridge will print before it needs replacing is 12,375. The distribution of pages printed per cartridge closely follows the
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