Transcription of t-Test Statistics
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t-Test Statistics
1t-Test Statistics Overview of Statistical Tests Assumption: Testing for Normality The Student s t-distribution Inference about one mean (one sample t-Test ) Inference about two means (two sample t-Test ) Assumption: F-test for Variance Student s t-Test - For homogeneous variances- For heterogeneous variances Statistical Power2 Overview of Statistical TestsDuring the design of your experiment you mustspecify what statistical procedures you will require at least 3 pieces of info:Type of VariableNumber of VariablesNumber of SamplesThen refer to end-papers of Sokal and Rohlf (1995)-REVIEW-3 AssumptionsVirtually every statistic, parametric or nonparametric,has assumptions which must be met priorto the application of the experimental designand subsequent statistical will discuss specific assumptions associated with individual tests as they come all parametric Statistics have anassumption that the data come from a populationthat follows a known of the tests we will evaluate in this module require a normal distribution.
1 t-Test Statistics Overview of Statistical Tests Assumption: Testing for Normality The Student’s t-distribution Inference about one mean (one sample t-test) Inference about two means (two sample t-test) Assumption: F-test for Variance Student’s t-test - For homogeneous variances
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