ASA statement on p-Values: Improving valid statistical reasoning

A lot of debate (and part of my thesis) revolve around replicability and the proper use of inferential methods. The American Statistical Association has now published a statement on the use and the interpretation of p-Values (freely available, yay). It includes six principles and how to handle p-Values. None of them are new in a theoretical […]

Mixing up Standard Errors and Standard Deviations

Over at the Non Significance blog, the author describes the case of a paper that has some strange descriptive statistics: What surprised me were the tiny standard deviations for some of the Variable 1 and 2, especially in combination with the range given. In the blog post, the author outlines his approach to make sense […]

Sorting Data independently before Regression

This thread on StackExchange is circling around my Twitter timeline today and I couldn’t resist sharing it here: Suppose we have data set (X_i, Y_i) with n points. We want to perform a linear regression, but first we sort the X_i values and the Y_i values independently of each other, forming data set(X_i, Y_j). Is […]