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Titlebook: Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control; Dharmaraja Selvamuthu,Dipayan Das Textbook 201

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Introduction,tatista (“statesman”). In a statistical investigation, it is known that for reasons of time or cost, one may not be able to study each individual element (of population). Consider a manufacturing unit that receives raw material from the vendors. It is then necessary to inspect the raw materials befo
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Review of Probability,h century and can be traced to games of chance and gambling. Games of chance include actions like drawing a card, tossing a coin, selecting people at random and noting number of females, number of calls on a telephone, frequency of accidents, and position of a particle under diffusion. Today, probab
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Descriptive Statistics,ed variable is to analyze that data to extract some useful information. Statistical analysis is one of the most applied tools in the industry, decision making, planning, public policy, etc. Many practical applications start from analyzing data, which is the main information source. Given this data,
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Sampling Distributions and Estimation,pulation parameters are fixed numbers that are usually unknown and (b) sample statistics are known for any sample. For different samples, we get different values of the statistics and hence this variability is accounted for identifying distributions called sampling distributions. In this chapter, we
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Multifactor Experimental Designs,ble combinations of the levels of the factors are investigated. The factorial designs are ideal designs for studying the interaction effect between factors. By interaction effect, we mean that a factor behaves differently in the presence of other factors such that its trend of influence changes when
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