Linear transformations and combinations of random variables

This module covers rules for scaling and shifting single random variables, calculating mean and variance for sums/differences of independent random variables, and applying these properties to combined normal distributions for exam problems.

📖Study Guide

In-depth bilingual notes with worked past paper examples.

✍️Practice Exam

Timed practice questions with mark scheme grading. Coming soon.

🎴Flashcards

Spaced repetition for key concepts and definitions. Coming soon.

📊Visualizer Coming Soon

Interactive plots and diagrams to build intuition. Coming soon.

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