2.Diastolic blood pressures are assumed to follow a normal distribution with a mean of 85 and a standard deviation of 12. a.What proportion of people has diastolic blood pressures less than 90? b.What proportion has diastolic blood pressures between 80 and 90? c.If someone has a diastolic blood pressure of 100, what percentile does this represent
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!
2.Diastolic blood pressures are assumed to follow a
a.What proportion of people has diastolic blood pressures less than 90?
b.What proportion has diastolic blood pressures between 80 and 90?
c.If someone has a diastolic blood pressure of 100, what percentile does this represent
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