24. Assume that the resting heart rate in humans is normally distributed with a population mean of 72 bpm and a standard deviation of 8 bpm. What proportion of the population has resting heart rates between 70 and 82 bpm? What proportion of the population has resting heart rates between 50 and 75 bpm? What proportion of the population has resting heart rates between 60 and 70 bpm? What proportion of the population has resting heart rates between 55 and 69 bpm?
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!
24. Assume that the resting heart rate in humans is
- What proportion of the population has resting heart rates between 70 and 82 bpm?
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What proportion of the population has resting heart rates between 50 and 75 bpm?
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What proportion of the population has resting heart rates between 60 and 70 bpm?
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What proportion of the population has resting heart rates between 55 and 69 bpm?
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