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Sequential Sampling
Under this method, a number of sample lots are drawn one after another from a universe depending on the results of the earlier samples. Such sampling is generally adopted in statistical quality contral. If the first sample is clearly acceptable, no new sample is drawn on the other hand if it is completed unacceptable the lot is rejected. However if the initial oft is of a doubtful marginal character falling in between acceptance and rejection limits, a second on final acceptance or rejection the lot. Such sampling can be based on any of the random or non-random methods of selection.
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Let X, Y, and Z refer to the three random variables. It is known that Var(X) = 4, Var(Y) = 9, and Var(Z) = 16. It is further known that E(X) = 1, E(Y) = 2, and E(Z) = 4. Furthermor
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Examples of grouped, simple and frequency distribution data
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The investor has constant wealth 1 and is o?ered to invest in shares of a project that either gains 3=2 or loses 1 with equal probabilities. Therefore, if the investor obtains sha
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