Singapore H2 Math Wiki

Home

❯

content

❯

topics

❯

continuous_random_variables

Continuous Expectation, Variance, And Transformations

Branch note explaining expectation, variance, linear transformations, and independent-sum laws for continuous random variables, as conceptual support before normal distribution.

Click below to study the full chapter notes.

Continuous Expectation, Variance, And Transformations

3 items under this folder.

  • Jul 05, 2026

    Continuous Expectation, Variance, And Transformations

    • continuous-random-variables
    • expectation
    • variance
    • linear-transformations
    • independent-random-variables
    • enrichment
  • Jul 05, 2026

    Continuous Random Variables

    • continuous-random-variables
    • probability-density-function
    • cumulative-distribution
    • expectation
    • variance
    • continuous-probability
    • statistics
    • enrichment
  • Jul 05, 2026

    Probability Density And CDF

    • continuous-random-variables
    • probability-density-function
    • cumulative-distribution
    • probability-as-area
    • enrichment

© 2026 Syllagrid. All rights reserved. Original explanations, diagrams, animations, source code, and educational materials are owned by Syllagrid unless otherwise stated.

Created with Quartz v4.5.2 © 2026