pdf, 118.64 KB
pdf, 118.64 KB

This IB Math AI SL 4.1 – Basic Statistics Concepts resource introduces students to the foundational ideas that underpin statistical reasoning, focusing on how data is defined, classified, and collected before any calculations begin. The lesson builds conceptual clarity around populations and samples, emphasizing why sampling methods matter and how poor sampling can lead to biased or unreliable conclusions.

Students develop a clear understanding of discrete versus continuous data, the role of outliers, and the importance of data quality checks before removing unusual values. Sampling techniques — including simple random, systematic, stratified, quota, and convenience sampling — are explored through realistic scenarios that require students to justify their choices rather than simply name a method.

Structured questions, classification tasks, and quick calculation exercises reinforce how sampling decisions connect to proportional reasoning and representation of groups. With clear prompts and an included answer key, this resource supports SL-level classroom instruction and independent study, helping students build strong conceptual foundations for statistical investigations 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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