pptx, 21.11 MB
pptx, 21.11 MB
IB Math AI SL 4.4 – Correlation & Regression

Teach students to analyse relationships between two quantitative variables with this editable PowerPoint lesson for IB Mathematics: Applications and Interpretation SL. The lesson moves from scatter plots and correlation to linear regression, prediction, and interpretation in context.

Learning objectives

Students will learn to:

  • Read scatter plots and describe positive, negative, and zero correlation.
  • Interpret the strength and direction of Pearson’s product-moment correlation coefficient ®.
  • Use Spearman’s rank correlation coefficient (rₛ) to assess monotonic relationships.
  • Find and interpret the least-squares regression line of y on x.
  • Distinguish interpolation from extrapolation and evaluate predictions in context.

Visual examples and applied contexts, such as study time and exam results, help students connect statistical measures to real data. Technology-supported computation is included alongside conceptual reasoning.

Aligned with IB Math AI SL Topic 4.4, this deck is suited to classroom teaching, digital delivery, or revision. Pair it with the IB Maths AI 4.4 Correlation and Regression Notes and IB Math AI Worksheet SL 4.4 Correlation & Regression for a complete lesson and practice set.

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 Maths AI Unit 4 - Statistics Slidedeck Bundle

**IB Math AI & HL Unit 4 – Statistics Bundle** **Topics:** Covers all Topic 4 sub-topics from SL and HL, ranging from data presentation and measures of spread, through correlation, regression, discrete and continuous distributions, to hypothesis testing and parametric models. **Level:** IB Mathematics: Applications & Interpretation (SL) and Higher Level (HL) **File Type:** Complete editable slide deck bundle **Bundle Price:** £40 (save 30 % compared to individual purchase) --- ### **Overview** This comprehensive bundle brings together all the slide decks your students need to master the entire **Statistics & Probability Unit (Topic 4)** of the IB Mathematics AI/HL curriculum. From collecting and describing data, to modelling with binomial, normal and Poisson distributions, and completing full hypothesis tests, each lesson is structured to build conceptual understanding and procedural fluency. The decks seamlessly integrate technology use, exam-style reasoning and real-world applications to prepare learners for both SL and HL assessments. --- ### **Learning Outcomes** By the end of the bundle, students will be able to: * Present data using frequency tables, histograms, box-and-whisker plots and cumulative graphs. * Compute and interpret measures of central tendency and spread (mean, median, mode, IQR, standard deviation). * Construct scatter plots, calculate correlation coefficients (Pearson and Spearman) and regression lines, and interpret them in context. * Use discrete models (binomial, Poisson), continuous models (normal), perform standardisation and inverse calculations, and understand expected value and variance. * Understand hypothesis testing frameworks: setting null/alternative hypotheses, using critical regions or p-values, and interpreting Type I and Type II errors. * Design valid data collection methods, choose appropriate categorisations for χ²-tests, and apply technology to compute test statistics. --- ### **What’s Included** * Fully editable PowerPoint slide decks for every subsection of Unit 4 in the IB Math AI syllabus * Complete walkthroughs for each sub-topic with definitions, animations, worked examples and technology integration. * Real-world case studies and context-rich problems that match IB assessment style. * Instruction on using calculators/software for distributions, inverse calculations and hypothesis tests. * Ti-nspire calculator demos! * Flexible teaching tools suited for SL, HL and mixed-level classes. --- ### **Why You’ll Love It** * Full coverage of **Topic 4: Statistics & Probability**, which carries approximately 36 teaching hours at SL and 52 hours at HL. * Seamless progression from basic data handling to advanced inferential statistics. * Reduction in planning time: everything ready-to-go and fully editable. * Strong alignment with the IB syllabus framework, making classroom delivery and revision structured and coherent. * Excellent value! 30 % reduction on individual slide deck pricing, delivering substantial savings for full-unit coverage.

£40.00

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