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Observation and data handling techniques are fundamental processes in research and analysis that involve carefully collecting, organizing, and interpreting information to draw meaningful conclusions. Observation refers to the systematic watching and recording of events, behaviors, or phenomena as they occur, either in natural settings or controlled environments, ensuring accuracy and objectivity. Data handling techniques, on the other hand, include methods such as data collection, classification, tabulation, analysis, and presentation using tools like charts, graphs, and statistical measures. Together, these practices help researchers and decision-makers transform raw data into useful insights, improve understanding of patterns and trends, and support evidence-based conclusions in fields such as science, education, business, and social studies.
This lecture is part of PHY108 General Practical Physics II in the Physics department. The course has 30 recorded lectures across 10 series, all free to watch. Read or download the PHY108 lecture note to study alongside the video.