New post on StatisticalBullshit.com! This post discusses how outliers can skew your results…and how sometimes removing outliers can also skew your results! To read more about Statistical Bullshit, use the following link: https://statisticalbullshit.com/2017/10/09/bullshit-outliers/ .
Hi all! I just made a new post on StatisticalBullshit.com about p-values. Use the following link to read more!
If you have any specific topics that you’d like to read about, please let me know by emailing MHoward@SouthAlabama.edu.
On StatisticalBullshit.com, I recently posted a new page on the perils of small sample sizes. Some quick examples show that small samples may bias your results in unexpected ways. So be sure to read it here: https://statisticalbullshit.com/2017/08/07/small-samples-big-problems/ .
As always, if you have any statistical questions or comments, please email me at MHoward@SouthAlabama.edu!
New post on StatisticalBullshit.com! This post discusses when mean comparisons are appropriate. Perhaps more importantly, this post also discusses when mean comparisons are inappropriate. Particularly, it focuses on a prior personal experience of mine, in which a manager believed that the means of two variables could provide information regarding their linear relationship. If you believe that you, your boss, or anyone else has made this mistake in the past, be sure to read the post to understand how to avoid Statistical Bullshit in the future! Also, feel free to email me (MHoward@SouthAlabama.edu) any questions or future posts that you’d like to see on StatisticalBullshit.com.
The link to the post is here: https://statisticalbullshit.com/2017/07/31/what-is-in-a-mean/ .
On MattCHoward.com, I try to keep the content relevant to my academic work. That is, most of the pages and posts are either (a) answers to student questions, (b) answers to statistical research questions, (c) or relevant to my current
studies. I recently realized that MattCHoward.com has little room for content
regarding my consulting experiences. For this reason, I started the website
The purpose of StatisticalBullshit.com is to educate readers about
nefarious statistical practices commonly seen in industry – practices that could be costing you thousands…or even millions! Most of the posts will discuss
business statistical issues, but many topics will also cross-over into research discussions. For instance, the first post is about p-hacking, which can be used to advance an expensive consulting agenda or successfully publish lackluster
research findings. So, it does not matter if you are currently in academia or
business, StatisticalBullshit.com should have enjoyable content for everyone.