Titlebook: Applied Statistical Methods in Agriculture, Health and Life Sciences; Bayo Lawal Textbook 2014 Springer International Publishing Switzerla

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https://doi.org/10.1007/978-981-15-7006-3) cannot be controlled by the experimenter but can be observed along with the variable of interest (Y). Thus, analysis of covariance is a method of adjusting for the effects of an uncontrollable nuisance variable. We present examples of the use of covariance analysis.

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Envisioning Disease, Gender, and Warata set by symbols to prevent the discussion from becoming anchored to a specific set of numbers. A data set consists of a number of measurements symbolically represented by .. The last subscript . denotes the number of measurements in the data and . represents the first observation, the second observation and so on.

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