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(6 classifications) (89 resources)

Statistical Inference and Techniques -- Significance Testing Principles

Statistical Topic Classifications
Assumptions (3)
Effect Size (2)
P-value (14)
Power (17)
Sample Size Determination (7)
Significance Level (11)

Resources
View Resource **Hypothesis Test For a Population Proportion Using the Method of Rejection Regions

The purpose of this applet is to provide students with guided practice through problems on hypothesis testing for a population proportion using the method of rejection regions.

http://www.ltcconline.net/greenl/java/Statistics/HypTestProp...
View Resource **Signal Detection Theory Tutorial

Every day we have to make decisions about uncertain events like, 'Is that my phone ringing or one on the television?', or, 'Is the person talking to me telling the truth?' In this tutorial, you will learn about the Signal Detection Theory (SDT) model of how people make decisions about uncertain events. This tutorial explains the theory behind signal detection, covers several SDT measures of...

http://wise.cgu.edu/sdtmod/
View Resource **Stat2Labs

As mentioned on the home page of this resource "This site presents workbook-style, project-based material that emphasizes real world applications and conceptual understanding. This material is designed to give students a sense of the importance and allure of statistics early in their college career. By incorporating many of the successful reforms of the introductory statistics course into a wide...

http://web.grinnell.edu/individuals/kuipers/stat2labs/Labs.h...
View Resource **Statistics Every Writer Should Know

This site provides an introduction to basic statistical concepts for journalists and writers with little math background. Key Words: Mean; Median; Percent Changes; Per capita; Rates; Standard Deviation; Normal Distribution; Margin of Error; Confidence Interval; Data Analysis; Sample Sizes; Statistical Tests; Student's T.

http://www.robertniles.com/stats/
View Resource **Student's t-test applet

This java applet can be used to determine whether or not the means in two sample populations are significantly different.

http://www.math.kent.edu/~blewis/stat/tTest.html
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