pdf, 155.96 KB
pdf, 155.96 KB

This IB Math AI SL 4.4 – Correlation & Regression resource develops students’ understanding of how relationships between two variables are analysed, interpreted, and used for prediction. The lesson builds conceptual clarity around scatter plots and correlation, focusing on how Pearson’s correlation coefficient measures the strength and direction of a linear relationship and why correlation does not imply causation .

Students use technology to calculate Pearson’s ® and Spearman’s rank correlation (r_s), comparing linear and monotonic relationships and interpreting results in context. The resource then extends to least-squares linear regression, guiding students in interpreting the gradient and intercept of a regression line and using models for prediction while distinguishing between interpolation and extrapolation .

Structured tasks combine calculation, graph interpretation, ranking methods, and modelling questions, reinforcing both conceptual understanding and IB-required technology skills. With scaffolded exercises, real data contexts, and a full answer key, this resource supports SL-level classroom instruction and independent study while strengthening students’ ability to analyse bivariate data in line with IB Mathematics AI expectations .

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IB Math AI Unit 4 Worksheet Bundle - All Sections Included!

This **IB Mathematics AI Unit 4 – Statistics Bundle** provides a complete set of structured worksheets covering the full statistics strand of the IB Math Applications & Interpretation course. The materials guide students from foundational statistical concepts through interpretation, analysis, and critical evaluation of data, building both procedural fluency and conceptual understanding required for IB assessments. Across the bundle, students work with data collection methods, sampling techniques, measures of central tendency and spread, representation of data, correlation and regression, probability distributions, and hypothesis testing. Tasks are sequenced to move from skill-building exercises to exam-style and extended-response problems, helping learners connect statistical calculations to interpretation in real-world contexts. Emphasis is placed on understanding assumptions, identifying bias and limitations, and interpreting results in context, all key expectations of the AI course. Each worksheet follows a consistent layout and structure to support classroom use, homework, revision, and independent study. Clear scaffolding, varied question styles, and challenge problems develop higher-order reasoning alongside core techniques. A full answer key is included for every worksheet, making this bundle ideal for teachers delivering the Unit 4 statistics syllabus or students preparing for internal and external IB assessments.

£40.00

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