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Instructional Software for
Statistics & Experimental Psychology

RippleSoft Software

Simulations (aka "Data Simulations")

Data simulations are the foundational tool for teaching inferential statistics using Monte Carlo techniques.

The fundamental sampling distributions used by standard statistical tests can be recreated by repeated sampling.

Available Simulations

Univariate: Uniform, Normal, Binomial Distributions
Univariate: Normal Distribution
Bivariate Normal Distribution
Single Observation Simulator for Inclass Use
Information Stack: Instruction, Explanation, and Exercises

Click here to open a page of full-sized card images

Univariate Data Simulator: Normal, Uniform, Binomial Populations

Creates a data set of observations by pseudo-randomly sampling from a Uniform, Normal, or Binomial Population.
  • Parameter values can be set by the user.
  • A sample of 10,000 can be drawn in less than 10 seconds on a Macintosh Powerbook (1.25 GHz)

Univariate Data Simulator: Normal Population

Click on any card for larger picture

Creates a data set by pseudo-randomly drawing observations from a Normal population.
  • Twenty different populations are built into the simulator.
  • Parameter values can be set by the user.

Bivariate Normal Data Simulator

Generates a bivariate data set and calculates associated descriptive statistical values.

  • All parameters can be set by the user.

Combined Data Entry & Simulation

Generates observations from a known population one score at a time.
  • This simulator is useful in the class room by drawing observations from the students ("How tall are you?") and, after a few, "generating" additional values.

"Help" Available: Instructions, Explanation, Exercises

Clicking the "info" button on the simulator card opens a second stack
  • Instructions--detailed information about using the simulator
  • Explanation--an explanation of how it does what it does, and
  • Exercises--exercises and problem sets(in some cases).

© 2005 by Burrton Woodruff. All Rights Reserved. Modified Fri, Dec 21, 2007