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 Power2Overview 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-3AssumptionsVirtually 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
Download t-Test Statistics
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
RATIONAL CHOICE THEORY: ASSUMPTIONS, STRENGHTS, RATIONAL CHOICE THEORY: ASSUMPTIONS, STRENGHTS, AND GREATEST WEAKNESSES, Demographic and Other Noneconomic, Demographic and Other Noneconomic Assumptions for Measuring Pension, Agenda Unified Planning Assumptions & Study Plan, Evaluation and Application of Andragogical Assumptions, PROJECT COST ESTIMATE ASSUMPTIONS AND EXCLUSIONS, Basic Assumptions Rev 6 030513, Assumptions, Cost and Performance Characteristics of New Generating, Energy Information Administration, NASRA ISSUE BRIEF