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Quantitative Data
Quantitative data refers to numerical information used to measure quantities, amounts, or statistical characteristics. Researchers gather this data through methods such as surveys, experiments, and observations. It is often represented using numbers, percentages, or metrics. Examples include height, temperature, revenue, and test scores. Unlike qualitative data, which focuses on descriptions, quantitative data allows for mathematical analysis and comparisons. Many industries, including science, finance, and marketing, rely on it to draw conclusions and make decisions. By analyzing this data, organizations can measure performance, predict outcomes, and improve processes. Its precision and reliability make it essential for evidence-based problem-solving and research. Through effective interpretation, organizations gain insights that lead to better strategies and improved outcomes.