a. State incidence of diphtherla per 1,000 population (compute to three decimal places) D. State incidence of hepatitis B per 10,000 population (compute to two decimal places) c. State case fatality ratio of hepatitis A per 10,000 (compute to two decimal places) d. State cause-specific death rate for mumps per 100,000 population (compute to one decimal place) e. State cause-specific death rate for hepatitis B per 100,000 population (compute to one decimal place)
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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