TABLES OF CUMULATIVE DISTRIBUTION FUNCTION OF A SUM OF N INDEPENDENT RANDOM VARIABLES,
Abstract:
Assuming zero mean, the probability that the error of a piece of equipment will not exceed a given value is determined as a function of the tolerance limits of the components of that equipment. It is assumed that the error of each component is independent of those of the other and that it is uniformly distributed. It is further assumed that the errors are additive. Cumulative distribution functions are tabulated for n 2, 3, 4. It is illustrated that the cumulative probability density function approaches the normal frequency function very rapidly. Author
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