By Jon Hasenbank and John Appiah Kubi, Grand Valley State University This article introduces a method for identifying statistically meaningful differences between two data sets using the mean absolute deviation, known as MAD and a measure of variability taught in middle school curricula under the Common Core State Standards, which parallel the recommendations of the Pre-K-12 … [Read more...] about How MAD Must We Be? A Robust Test for Identifying Meaningful Differences Using the Mean Absolute Deviation
t-test
Model t, or a Newer Randomization?
By Sean Bradley, Clarke University Anyone who loves math appreciates a good mathematical model. There is no shortage of useful workhorses in statistics–normal, t, F, and chi-square distributions come quickly to mind. Mathematicians and statisticians of yesteryear developed these beautiful models to overcome the inability to use brute force methods to answer statistical … [Read more...] about Model t, or a Newer Randomization?
Double Stuffed?
By Allison Dorko … [Read more...] about Double Stuffed?



