Suppose that the length of research papers is uniformly distributed from 10 to 23 pages. We survey a class in which 55 research papers were turned in to a professor. We are interested in the average length of the research papers. O Part (a) Part (b) Part (c) Part (d) Part (e) Part (f) Part (g) Part (h) O Part (i) Part (j) Part (k) I Part (1) Find the probability that an individual paper is longer than 17 pages. (Round your answer to four decimal places.) 0.4615 Find the probability that the average length of 55 papers is more than 17 pages. (Round your answer to four decimal places.) Part (m) Find the 65th percentile for the length of individual papers for samples of 55 papers. (Round your answer to two decimal places.) Find the 65th percentile for the average length of papers for samples of 55 papers. (Round your answer to two 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!
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