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What exactly is data validity, and how can you ensure that you're working with valid data? In this post, we'll explore the definition of data validity, its importance in data analytics, and best practices for measuring and maintaining data validity.
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Validity refers to how well an experiment investigates the aim or tests the underlying hypothesis. While validity is not represented in this target analogy, the validity of an experiment can sometimes be assessed by using the accuracy of results as a proxy.
29 Αυγ 2023 · Studying a problem through the use of statistical data analysis often involves fourbasic steps, namely; (a) defining the problem, (b) collecting the data (c) analyzingthe data, and (d) reporting the results.
