If caffeine leaves the body at a continuous rate of about 16\%16% per hour. How much caffeine is left in the body 88 hours after drinking a cup of coffee containing 100100mg of caffeine? 27.8027.80mg 359.66359.66mg 87.9987.99mg There is no way to tell.
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!
If caffeine leaves the body at a continuous rate of about 16\%16% per hour. How much caffeine is left in the body 88 hours after drinking a cup of coffee containing 100100mg of caffeine?
27.8027.80mg
359.66359.66mg
87.9987.99mg
There is no way to tell.
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