Find an exponential decay function of the form Q(t)=Q0e^-kt for a person who just had 390mg of caffeine. With a half-life of 5 hours. Plug-in information and solve for k. b. How much of the original 390mg of caffeine is in the body after 5 hours? c. Rounding to the nearest hour, when will the caffeine be reduced to the minimum amount that should no longer have any stimulant effects on the body?
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!
Find an exponential decay function of the form Q(t)=Q0e^-kt for a person who just had 390mg of caffeine. With a half-life of 5 hours. Plug-in information and solve for k.
b. How much of the original 390mg of caffeine is in the body after 5 hours?
c. Rounding to the nearest hour, when will the caffeine be reduced to the minimum amount that should no longer have any stimulant effects on the body?
Trending now
This is a popular solution!
Step by step
Solved in 4 steps
