mmeters produced by a manufacti are market specification the standard deviation of gauge readings is no larger than 0.2 amp. One of these ammeters was used to make 14 independent readings on a test circuit with constant current. If the sample variance of these 14 measurements is 0.068, and it is reasonable to assume that the readings are normally distributed. Find the approximate probability that the sample variance will exceed 0.068 if the true population variance is 0.04.
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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