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While analysing quantitative data, researchers need to follow certain important principles to ensure that the findings are accurate, meaningful, and reliable. Quantitative data analysis involves the systematic examination of numerical information using statistical techniques to identify patterns, relationships, and trends. The following points should be kept in mind during the process. The first important point is data cleaning and preparation. Before analysis, the collected data should be checked for errors, missing values, inconsistencies, and incorrect entries. Proper coding and classification of data are necessary to make it suitable for statistical analysis. Data cleaning helps in reducing errors and improves the _____ __________ ___ ________ _________ _____ _________ _________ _____ _____.
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