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Research(unit 3
This document summarizes key aspects of data interpretation including: - Data interpretation involves reviewing data through predefined processes to assign meaning and arrive at conclusions. It follows data analysis which organizes and summarizes data. - Qualitative and quantitative methods are used to analyze different data types. Qualitative methods use text to describe categorical data while quantitative methods use numbers for numerical data. - Researchers must identify the correct data types needed and avoid biases to accurately collect data for interpretation. Data interpretation helps make informed decisions in a cost-effective manner.
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