A computer company has manufacturing plants in Raleigh and Palo Alto. The Raleigh plant manufactures 330 keyboards per week, whereas the Palo Alto plant produces 670. The company has stores in Chicago and Denver. The Chicago store orders 590 keyboards per week and the Denver store orders 410. The shipping costs per keyboard from each factory to each store are as follows: Raleigh to Chicago: $7 Raleigh to Denver $10 Palo Alto to Chicago: $12 Palo Alto to Denver: $9
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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