ENT TEST (pac x A Meet-upl-pygv-mfv moodle.unizwa.edu.om/mod/quiz/attempt.php?attempt%3D2290358&cmid%3D52924&page%3D3 Dashboard My courses a This course Colleges Software Guides Search Time le Let the random variable X follows binomial distribution with parameters 14 and 5/12. Find P(X greater than 12). OA. 0.004 ОВ. 0.0001 OC. 0.9999 OD. None of these Evaluate the variance of the binomial distribution. OA. 1.84 ОB.5.8 ОС. 3.6 OD. None of these
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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