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An in-depth exploration of various data types in the context of healthcare, including ordinal, unstructured, nominal, and quantitative data. It delves into descriptive statistics such as mean, standard deviation, and range, and discusses their applications. The document also covers inferential statistics, hypothesis testing, and exploratory data analysis. It offers insights into the primary and secondary uses of data, as well as the importance of reliability and validity in data analysis.
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