2. BLOOD ALCOHOL CONCENTRATION (OPTIMIZATION PROBLEM) Biomedical scientists have studied the chemical and physiological changes in the body that result from alcohol consumption. The reaction in the human body occurs in two stages: a fairly rapid process of absorption and a more gradual one of metabolism. To predict the effect of alcohol consumption, one needs to know the rate at which alcohol is absorbed and metabolized. Medical researchers found that the blood alcohol concentration (BAC) of eight fasting adult male subjects after rapid consumption of 15 mL of ethanol (corresponding to one alcoholic drink) is modeled by the following equation: C(t) = 0.0225te-0.04671 (2) %3D where time t, is measured in minutes after consumption and the concentration C, is measured in mg/mL. Find the maximum value of the BAC during the first hour. Solve the above problem through the following steps: (a) Calculate the first derivative C" (t), of the equation 2. (b) Find C" (t) maximum value of C (t) will occur on interval t = 0, the critical number and then use the first derivative test to find where the (c) Use your answer found in question b to calculate the maximum value of C(t), which is the maximum blood alcohol concentration measured in the first hour.
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!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images