A ype of Capa citar has resistances that vony acconding to normal distribution, oith a mean of S00 negohns and Standord deviationot 200 megohms A certain application specifies with resist anes t Capacitos standard deviahia one from the mean- Il two apaators are randonly chosen from a lot of capecitors of this ype, What is the probabiliky that bath will sah's fy the specifi cations ? -4659 b. 0-3413 au 0-6826
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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