Category: Applets

  1. Two parametric curves

    This applet plots two parametric curves simultaneously. It can be used to explore whether two particles collide.

    melbapplets.ms.unimelb.edu.au/2021/07/09/two-parametric-curves

  2. Discrete and continuous distributions

    This applet explores the relationship between the pmf or density and the cumulative distribution function of a range of discrete and continuous probability distributions.

    melbapplets.ms.unimelb.edu.au/2021/07/09/discrete-and-continuous-distributions

  3. Logistic population growth

    This applet explores a logistic population growth model with no harvesting. The phase plot is shown alongside the plot of p vs t.

    melbapplets.ms.unimelb.edu.au/2021/07/09/logistic-population-growth

  4. Logistic population growth with harvesting

    This applet explores a logistic population growth model with constant harvesting.

    melbapplets.ms.unimelb.edu.au/2021/07/09/logistic-population-growth-with-harvesting

  5. Normal probability plot and CDF

    This applet shows the relationship between a plot of an estimated empirical CDF and a normal probability plot.

    melbapplets.ms.unimelb.edu.au/2021/07/09/normal-probability-plot-and-cdf

  6. QQ plots

    This applet explores QQ-plots for a range of distributions.

    melbapplets.ms.unimelb.edu.au/2021/07/09/qq-plots

  7. Model of a spring with drag and forcing

    This applet simulates a spring acting under gravity, subject to drag and an external driving force.

    melbapplets.ms.unimelb.edu.au/2021/07/09/model-of-a-spring-with-drag-and-forcing

  8. Random variables

    This applet illustrates the concept of independent identically distributed random variables.

    melbapplets.ms.unimelb.edu.au/2021/07/08/random-variables

  9. Vector projections

    This applet aims to demonstrate visually the projection of a vector u onto a vector v.

    melbapplets.ms.unimelb.edu.au/2021/07/08/vector-projections

  10. Central Limit Theorem and Law of Large Numbers

    This applet illustrates how the distribution of the sample mean converges towards normality as sample size increases.

    melbapplets.ms.unimelb.edu.au/2021/07/08/central-limit-theorem-and-law-of-large-numbers

Number of posts found: 52