A vending machine pours soda into a cup. The cup has a capacity of 300 mL (the amount of fluid that it can hold without overflowing.) The machine is set to pour an average of 250 mL into a cup, and pours are normally distributed. What value should the standard deviation have in order than no cups will overflow? O a. 15 O b. 100 Oc. 50 O d. 25
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!
A vending machine pours soda into a cup. The cup has a capacity of 300 mL (the amount of fluid that it can hold without overflowing.)
The machine is set to pour an average of 250 mL into a cup, and pours are
What value should the standard deviation have in order than no cups will overflow?
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