pdf, 139.46 KB
pdf, 139.46 KB

This IB Math AI HL 4.16 Confidence Intervals resource develops students’ understanding of how sample data are used to estimate population means and quantify uncertainty. Students build conceptual clarity around confidence intervals, confidence levels, and margin of error, learning how interval estimates are constructed and interpreted in context. The material links sampling distributions directly to real decision-making, showing how reliability depends on variability, sample size, and chosen confidence level.

Structured tasks guide learners in choosing between z- and t-intervals, applying formulas correctly, checking conditions for validity, and interpreting intervals meaningfully rather than mechanically. Practice and extended problems develop higher-level reasoning about sample-size planning, the trade-off between precision and confidence, and common misconceptions about what confidence levels mean. With applied contexts and a full answer key, this resource supports HL teaching, IA preparation, and deeper understanding of statistical inference 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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