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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 ______ _______ ______ __________ __________ __________ ____ _______ _______.
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