Choose a postmenopausal woman at random. The probability is 0.32 that the woman chosen has osteopenia (low but not pathologically low bone density ) and 0.04 that she has osteoporosis (pathologically low bone mineral density).(A.)What is the probability that a randomly chosen postmenopausal woman has a healthy bone density? Please use 2 decimal places (B)What is the probability that a randomly chosen postmenopausal woman has some problem with low bone density (osteopenia or osteoporosis)? Please use decimal places.
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!
Choose a postmenopausal woman at random. The
(A.)What is the probability that a randomly chosen postmenopausal woman has a healthy bone density? Please use 2 decimal places
(B)What is the probability that a randomly chosen postmenopausal woman has some problem with low bone density (osteopenia or osteoporosis)? Please use decimal places.
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