If two loads are applied to a cantilever beam as shown in the figure below, the bending moment at 0 due to the Toads is aįX1 + azX3. Suppose that X1 and X2 are independent random variables with means 4 and 6 kips, respectively, and standard deviations 0.7 and 1.3 kips, respectively. Suppose that a1 = 5 ft and az = 12 ft. (a) Find the expected value of the bending moment. (b) Find the standard deviation of the bending moment. (c) IE Y. and V are normall: dictributed uhat is the rprobahilitr that the handing mo ment uii11 excead 122 1-in 62
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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