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HSC Mathematics Advanced

    Preparation

  1. Foundations

    2. Year 11

  2. Working with Functions

  3. Trigonometric Functions

  4. Introduction to Differentiation

  5. Exponentials and Logarithms

  6. Discrete Probability Distributions

    7. Year 12

  7. Graphing Techniques

  8. Further Derivatives

  9. Modelling Financial Situations

  10. Integral Calculus

  11. Descriptive Statistics and Bivariate Data

  12. Continuous Random Variables

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Continuous Random Variables
Continuous random variables are random variables that can have any real valued input. This has many implications for the ways that probability distributions are defined, as this topic explores.
Continuous Random Variables
 
 
1
Probability Density Functions
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2
Cumulative Density Functions
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3
Statistical Analysis of Distributions
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The Normal Distribution
 
 
4
Normally Distributed Data
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5
Modelling Normal Distributions
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6
Z-Scores
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7
Probability and Normal Distributions
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