The weight of an organ in adult males has a bell-shaped distribution with a mean of 330 grams and a standard deviation of 15 grams. Use the empirical rule to determine the following. (a) About 68% of organs will be between what weights? (b) What percentage of organs weighs between 285 grams and 375 grams? (c) What percentage of organs weighs less than 285 grams or more than 375 grams?
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!
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The weight of an organ in adult males has a bell-shaped distribution with a
Use the
(a) About 68% of organs will be between what weights?
(b) What percentage of organs weighs between 285 grams and 375 grams?
(c) What percentage of organs weighs less than 285 grams or more than 375 grams?
(d) What percentage of organs weighs between 315 grams and 360 grams?
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