Question* A rainstorm in Portland, Oregon has wiped out the electricity in about p% of the households in the city. A management team in Portland has a big meeting tomorrow, and all 7 members of the team are hard at work in their separate households preparing their presentations. The probability that none of them has lost electricity in his/her household is 0.2097. Assume that the locations are spread out so that loss of electricity is independent among their households. Then p is equal to: (Im None of these 60% 40% 20%
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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