Papers Introduction to the t-Test (University of Leicester) Describes the conditions that must be met in order to use of the test. "Z-test and t-test are basically the same, they compare between two means to suggest whether both samples come from the same population. There are however variations on the theme for the t-test. If you have a sample and wish to compare it with a known mean (e.g. national average) the single sample t-test is available. If both of your samples are not independent of each other and have some factor in common, i.e. geographical location or before/after treatment, the paired sample t-test can be applied. There are also two variations on the two sample t-test, the first uses samples that do not have equal variances and the second uses samples whose variances are equal." 8-05 Student's t-Test for Independent Samples (MacFarland) Describes how and why to use a t-test. 8-05 t-Test Problem (Polamar.edu) Provides an example of how to calculate a t-test. 8-05 t-Test for Dependent and Independent Samples (Statsoft.com) Describes the concepts and methods. 8-05 t-Test for Independent Samples (Statsoft.com) Describes the concepts and methods. 8-05

Arabic, Chinese-Simple, Chinese-Traditional, Danish, Dutch, Finnish, Greek, Hebrew, Hindi, Hungarian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Slovenian, Swedish, Turkish, Ukrainian, Vietnamese,   Index, New, Search Engines, Dictionary, Bookstore, Licenses, Email Us, About Us, Link to Us, Sponsorships, or Privacy Policy.