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Titlebook: Introduction to Probability, Statistical Methods, Design of Experiments and Statistical Quality Cont; Dharmaraja Selvamuthu,Dipayan Das Te

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發(fā)表于 2025-3-30 12:11:16 | 只看該作者
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發(fā)表于 2025-3-30 13:19:06 | 只看該作者
Estimation whole population is too large to study or the units of the population are destructive in nature or there is limited resources and manpower available then it is not practically convenient to examine each and every unit of the population to find the value(s) of parameter(s). In such situations, one c
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發(fā)表于 2025-3-30 17:02:34 | 只看該作者
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發(fā)表于 2025-3-30 22:14:38 | 只看該作者
Analysis of?Correlation and?Regressionariance?is to identify the nature of dependence. However, the covariance is not an appropriate measure of dependence since it is dependent on the scale of observations. Hence, a measure is required which is unaffected by such scale changes. This leads to a new measure known as the correlation coeffi
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發(fā)表于 2025-3-31 02:24:56 | 只看該作者
Single-Factor Experimental Designthe levels of the factor are varied. Such experiments are known as single-factor experiment. There are many designs available to carry out such experiment. The most popular ones are completely randomized design, randomized block design, Latin square design, and balanced incomplete block design.
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