Description

This complete resource set for IB Math AI SL – Unit 4.1: Data Collection and Sampling provides a fully structured learning sequence that is both teacher-friendly and student-centered.

The PowerPoint lesson is directly aligned with the guided notes, ensuring that students remain engaged, actively follow along, and leave class with a well-organized record of key definitions, worked examples, and IB-aligned notation. This structure helps students monitor their own learning in real time and gives them a reliable resource to reference later for practice and review.

The homework set extends the lesson with thoughtful, application-based questions that ask students not just to identify sampling methods and data types, but also to explain potential bias and justify their reasoning. The problems are carefully written to mirror IB-style scenarios, bridging routine skill-building with the conceptual reasoning required on assessments.

Finally, the answer key models clear, step-by-step reasoning so teachers can provide fast, accurate feedback and students can learn from worked solutions. Together, these materials save teachers preparation time, raise student engagement, and consistently build the depth, fluency, and test readiness expected in IB Math AI.

What’s Included:

• Lesson PowerPoint (fully aligned with guided notes)

• Guided Notes handout (keeps students engaged and creates a study resource)

• Homework assignment (scaffolded and IB-style application problems)

• Complete Answer Key (clear solutions with modeled reasoning)