A model for the surface area of a human body is given by the function S = f(w, h) = 0.1091w0.425h0.725 where w is the weight (in pounds), h is the height (in inches), and S is measured in square feet. (a) Find f(136, 63). (Round your answer to two decimal places.) Interpret your answer. A person who weighs ---Select--- 63 136 pounds and is ---Select--- 63 136 inches tall has a surface area of about feet. (b) What is your own surface area?
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 model for the surface area of a human body is given by the function
where w is the weight (in pounds), h is the height (in inches), and S is measured in square feet.
Interpret your answer.
(b) What is your own surface area?
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