1.What is the Prevalence as a decimal for college 1 (box a)?Round to the nearest hundredth. 2. which ONE college experienced the highest influenza rate during last year's flu season? 3.what percentage of students had the flu at the college that experienced the highest influenza rate during last year's flu season?Round to the nearest one hundredth
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!
1.What is the Prevalence as a decimal for college 1 (box a)?Round to the nearest hundredth.
2. which ONE college experienced the highest influenza rate during last year's flu season?
3.what percentage of students had the flu at the college that experienced the highest influenza rate during last year's flu season?Round to the nearest one hundredth
| College | Cases of Flu | Total number of students | Prevalence (decimal) | Prevalence per 10000 students |
| 1 | 12 | 9000 | a | f |
| 2 | 32 | 10780 | b | g |
| 3 | 5 | 11300 | c | h |
| 4 | 44 | 14200 | d | i |
| 5 | 19 | 16800 | e | j |
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