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Title: Power Applet
Url: https://www.causeweb.org/cause/archive/repository/statjava/Power.html
Creator: Anderson-Cook, C.
Doria-Raj, S.
Robinson, T.
Publisher: Virginia Tech - Department of Statistics
Description: These applets, presented by Virginia Tech's Department of Statistics, address the notion of "power." Users can perform one or two tailed tests for proportions or means for one or two samples. Set the parameters and drag the mouse across the graph to see how effect size affects power. Along with the applets, the site also contains test questions. This allows students to engage even more with the subject. This is a great resource for any mathematics classroom, especially when focusing on statistics.
LC Classification: Science -- Mathematics -- Mathematical statistics
Science -- Mathematics -- Mathematical statistics -- Analysis of variance and covariance. Experimental design
Science -- Mathematics -- Mathematical statistics -- Sampling theory and methods
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Mathematical statistics -- Testing of hypotheses
GEM Subject: Mathematics -- Statistics
Key Concept: Mathematics -- Statistical hypotheses
Mathematics -- Statistics
Mathematics -- Tests of variance
Resource Type: Instructional Material -- Student Guide
Instructional Material -- Demonstration
Instructional Material -- Instructor Guide/Manual
Format: Document -- HTML
Application -- Java
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 7
Resource URL Clicks: 3
Cumulative Rating: NOT YET RATED
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