Stats & Probability w/Support MAT132-09 2214 23821 Practice Section 5.1+5.2- Continuous Random Variables Score on last try: 1 of 1 pts. See Details for more. The graph of a continuous probability distribution cannot have y-values larger than 1. O true false v Question 14 B0.5/1 pt O 88-98 O Details Score on last try: 0.5 of 1 pts. See Details for more. You can retry this question below Consider the density curve plotted below: Density Curve 10 8- 6 2 0.04 0.08 0.12 0.16 0.2 Find P(X < 0.08): 0.16 Find P(X > 0.12):| Submit Question Question 15 B 1/1 pt O Details Terr Seara an laet t 1af 1 nte Caa natsile for mara 12.html Show All MAY 3
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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