The following frequency distribution provides a certain condition prevalence frequency distribution for 57 regions. Condition (%) Frequency 4 −under 5 7 5 −under 6 14 6 −under 7 17 7 −under 8 11 8 −under 9 5 9 −under 10 2 10 −under 11 1 A = event that has a prevalence of at least 8% B = event that has a prevalence of less than 7% C = event that has a prevalence of at least 5% but less than 10% D = event that has a prevalence of less than 9% a. Determine the number of outcomes (regions) that constitute the event (not C). Event (not C) has 3333 regions. Enter your answer in the answer box and then click Check Answer.
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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A
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B
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event that has a prevalence of less than 7%
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C
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event that has a prevalence of at least 5% but less than 10%
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D
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event that has a prevalence of less than 9%
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