SOCR BivariateNormal JS Activity

(Difference between revisions)
 Revision as of 21:44, 12 July 2012 (view source)IvoDinov (Talk | contribs)← Older edit Revision as of 21:45, 12 July 2012 (view source)IvoDinov (Talk | contribs) (→Requirements)Newer edit → Line 12: Line 12: # Use the Settings to initialize the web-app. # Use the Settings to initialize the web-app. # In the Control panel: # In the Control panel: - * Select the appropriate bivariate limits for the X and Y variables. + ## Select the appropriate bivariate limits for the X and Y variables. - * Choose desired Marginal or Conditional probability function. + ## Choose desired Marginal or Conditional probability function. - * 1D Normal Distribution graph will be shown to the right. + ## 1D Normal Distribution graph will be shown to the right. - + # You can rotate and manipulate the bivariate normal distribution in 3D by clicking and dragging on the graph below. # You can rotate and manipulate the bivariate normal distribution in 3D by clicking and dragging on the graph below. # Probability Results are reported in the bottom text area. # Probability Results are reported in the bottom text area.

SOCR Educational Materials - Activities - SOCR Bivariate Normal Distribution Activity

This activity represents a 3D rendering of the Bivariate Normal Distribution. It is implemented in HTML5/JavaScript and should be portable on any computer, operating system and web-browser.

Goals

The aims of this activity are to:

• TBD.

Requirements

A modern web-browser with HTML and JavaScript support is required (mobile devices should be fine). The 3D view of the bivariate Normal distribution requires WebGL support, however this is not absolutely necessary. If you toggle off the "Use WebGL" check-box in the Settings panel you can view the 3D grid/mesh representation of the 2D Normal/Gaussian distribution without WebGL.

1. See the SOCR Bivariate Normal Distribution Activity.
2. Use the Settings to initialize the web-app.
3. In the Control panel:
1. Select the appropriate bivariate limits for the X and Y variables.
2. Choose desired Marginal or Conditional probability function.
3. 1D Normal Distribution graph will be shown to the right.
4. You can rotate and manipulate the bivariate normal distribution in 3D by clicking and dragging on the graph below.
5. Probability Results are reported in the bottom text area.

Questions

 ... TBD ...


Applications

... TBD ...