pdf, 189.66 KB
pdf, 189.66 KB

This IB Math AI SL 4.9 – Normal Distribution resource builds students’ understanding of how continuous data are modelled using the normal distribution and interpreted through technology. Students develop fluency with normal notation (X \sim N(\mu,\sigma)), the bell-shaped curve, and the roles of mean and standard deviation in describing centre and spread. The Empirical Rule is used to estimate probabilities, while calculator functions such as NormalCDF and NormalInv support exact probability calculations, percentiles, and cut-off values in real contexts like IQ scores, manufacturing tolerances, heights, and test results .

Structured tasks progress from core concepts and graph interpretation to standardising values with z-scores, calculating tail and interval probabilities, and solving inverse normal problems. Students interpret probabilities in context and connect graphical, numerical, and algebraic representations. Extended exam-style problems develop deeper reasoning, including modelling with unknown parameters, using normal models for quality control decisions, and working with the distribution of differences of independent normal variables. With scaffolded practice, technology integration, challenging extension tasks, and a full answer key, this resource supports SL classroom instruction and independent study in line with IB Mathematics AI expectations.

Get this resource as part of a bundle and save up to 30%

A bundle is a package of resources grouped together to teach a particular topic, or a series of lessons, in one place.

Bundle

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

Reviews

Something went wrong, please try again later.

This resource hasn't been reviewed yet

To ensure quality for our reviews, only customers who have purchased this resource can review it

Report this resourceto let us know if it violates our terms and conditions.
Our customer service team will review your report and will be in touch.