{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5c36595baa8047e4973fcc2be689347f\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5c36595baa8047e4973fcc2be689347f-00001.gif","duration":491,"title":"Independent-measures t-test - Tests of assumptions","description":"Video describing the tests of assumptions for an independent-measures t-test.\nWe test the first five assumptions of \n1. You have one dependent variable that is measured at the continuous level (i.e., the interval or ratio level).\n2. You have one independent variable that consists of two categorical, independent groups (i.e., a dichotomous variable).\n3. You have independence of observations.\n4. There are no significant outliers in the two groups of your independent variable in terms of the dependent variable.\n5. Your dependent variable is approximately normally distributed for each group of the independent variable.\n\nThe test for the sixth assumption of homogeneity of variances is show in the next video along with how to conduct an independent-measures t-test. \n6. You have homogeneity of variances."}