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Applied - Representations of data, Correlation and Constant acceleration
infoWhy this? Statistical diagrams reveal distributions, outliers, and patterns that numerical summaries alone may conceal. Correlation develops our understanding of relationships between variables while emphasising that association does not establish causation. Constant-acceleration models connect displacement, velocity, acceleration, and time in a form that supports practical predictions.
scheduleWhy now? Measures of location and spread now inform our interpretation of diagrams, before we extend analysis from individual variables to paired data. Following the introduction to mechanics modelling, constant acceleration provides a first setting in which to apply those conventions, algebra, and graph interpretation before investigating forces.