pdf, 347.17 KB
pdf, 347.17 KB

This IB Math AI SL 4.2 – Presentation of Data resource develops students’ understanding of how raw data is organised and displayed to reveal patterns, distributions, and summary information. The lesson builds conceptual clarity around frequency tables, cumulative frequency, and class intervals, helping students see how grouped data structures support meaningful graphical representations .

Students learn how histograms represent continuous data using adjoining class intervals, why cumulative frequency graphs must always increase, and how box-and-whisker plots summarise data using the five-number summary. Emphasis is placed on interpreting graphs rather than only constructing them, including recognising skew from whisker length and understanding how quartiles divide a data set .

Structured tasks guide students through building frequency and cumulative frequency tables, determining class widths, identifying medians and quartiles, and connecting graphical features to statistical meaning. With scaffolded practice, realistic contexts, and a full answer key, this resource supports SL-level classroom instruction and independent study while strengthening students’ ability to analyse and communicate 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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