pdf, 208.48 KB
pdf, 208.48 KB

This IB Math AI SL 4.11 – Hypothesis Testing & Significance resource develops students’ understanding of how statistical evidence is used to make formal decisions about claims. Students build fluency with null and alternative hypotheses, significance levels, p-values, and the decision rule for rejecting or failing to reject (H_0). Core ideas such as one-tailed vs two-tailed tests, interpretation of p-values, and Type I and Type II errors are embedded early, giving students a clear conceptual framework before calculations .

Structured tasks guide learners through the major SL testing procedures: chi-squared tests for independence, chi-squared goodness of fit, and the pooled two-sample t-test. Students practise setting up hypotheses, calculating degrees of freedom, finding test statistics and p-values using technology, and writing conclusions in context. Realistic scenarios—surveys, preferences, product testing, and comparative samples—help connect abstract testing procedures to decision-making situations. Extended exam-style problems develop multi-step reasoning, combining hypothesis setup, calculation, interpretation, and evaluation of assumptions. With scaffolded practice, mixed review, and a full answer key, this resource supports SL classroom instruction and independent study 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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