Home > RippleStat > Calculation Tools

RippleSoft

Instructional Software for
Statistics & Experimental Psychology

RippleSoft Software
www.ripplestat.com
ripplesoftware@mac.com

Calculation Tools

Univariate Descriptive Statistics, One-sample t-test (and simulation)
Independent Groups ANOVA (and simulation)
Repeated Measures ANOVA (and simulation)
Two-Sample t-test
Correlation and Regression Tools are described elsewhere

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

Univariate Descriptive Statistics

Calculates "typical" statistical values

  • Mean, median, sum of squares (SS), n
  • Standard deviation using n and (n-1) divisors
  • Calculates value of one-sample t-test

Simulates "Future" Results

  • Clicking the t-test Simulation button opens the "Simulation Controls" window.

One-Sample t-test Simulation

  • User sets the parameters of the simulation
  • The data can be generated for the condition of "Ho true", "Ho false" and "??" (the state is determined randomly).

Clicking on the Count button opens another window where the student can keep track of the outcomes from multiple replications of the simulation.

Independent Groups ANOVA

Completely Randomized ANOVA

  • One-Way with up to 5 groups
  • Data can be typed or pasted
  • "Substitutes" for an independent groups t-test

Simulates "Future" Results

  • Clicking the Simulation button opens the "Simulation Controls" window.

Independent Groups ANOVA Simulation

  • User sets the parameters of the simulation
  • Click the Count button for help in keeping track of the simulation outcomes.

Dependent Groups ANOVA

Repeated Measures ANOVA

  • One-way with unlimited measures
  • Data can be typed or pasted
  • "Substitutes" for correlated t-test

Simulates "Future" Results

  • Clicking the Simulation button opens the "Simulation Controls" window.

Independent Groups ANOVA Simulation

  • User sets the parameters of the simulation
  • Click the Count button for help in keeping track of the simulation outcomes.

Two Sample t-Test

Data appropriate for analysis in a two-sample t-test can also be analyzed using an ANOVA. This card is provided to allow calculations of t from descriptive statistics should the original data set not be available.


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