Shodor Interactivate: Another Hilbert Curve Generator

Change the standard deviation of an automatically generated normal distribution to create a new histogram. Observe how well the histogram fits the curve, and how areas under the curve correspond to the number of trials.

Step through the generation of the Koch Snowflake, a fractal made from deforming the sides of a triangle, and explore number patterns in sequences and geometric properties of fractals.

Step through the generation of Sierpinski's Carpet, a fractal made from subdividing a square into nine smaller squares and cutting the middle one out. Explore number patterns in sequences and geometric properties of fractals.

Change the median and standard deviation of an automatically generated normal distribution to create a skewed distribution, allowing you to observe properties like what it means for the mean, median, and mode to be different.

Review the properties of functions by looking at ten different curves and deciding whether or not they meet the criteria for a graph of a function.

In this applet you can adjust the parameters on two Gaussian curves to determine if there is a possibility of a difference between the two means.

Investigate the first quadrant of the Cartesian coordinate system through identifying the coordinates of randomly generated points, or requesting that a particular point be plotted.

Investigate the Cartesian coordinate system through identifying the coordinates of a randomly generated point, or requesting that a particular point be plotted.

Calculate the length of one side of an automatically generated right triangle by using the Pythagorean Theorem, and then check your answers.

Run the classic game of life, learning about probabilities, chaos and simulation. This activity allows the user to run a randomly generated world or test out various patterns.