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The organization and tabulation of quantitative data are essential steps in research methods and biostatistics, as they allow raw data to be systematically arranged for analysis and interpretation. Quantitative data refers to numerical data that can be measured and quantified, such as height, weight, blood pressure, or income. Before analysis, the data must be organized in a structured format to ensure clarity, accuracy, and ease of interpretation. Organization of quantitative data involves sorting and arranging data in a meaningful manner. The first step is data editing, where the researcher checks for completeness, consistency, and accuracy of the collected data. This may involve correcting errors, identifying missing values, and _______ _______ __________ ________ ______ _____ ________ __________ __________.
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