# statstest

## The Indie Hacker Grind (March 2021): diving into SEO

Things aren’t changing as much as they were in the beginning (maybe we put in less time so we make less progress…), so an update every 3 months is probably sufficient for now. Here’s a link to the last one if you missed it. I’ve been following a few Indie Hackers on Twitter that are […]

## The Indie Hacker Grind (November Edition)

1 Year Celebration! We started statstest.com exactly 1 year ago, so this is our 1 year update. Over the past year we have developed a dedicated page with thorough explanations and examples for 45 statistical methods across prediction, relationship, and difference groups. We also developed a Choose Your Own Adventure workflow that guides you through

## The Indie Hacker Grind (October Edition)

The past month has been quiet on the content development side for us at statstest.com. We are basically finished with our initial 45 methods and are trying to decide where to go from here. We’ve talked about integrating a software component to the site (which we are still considering) or we might create some additional

## The Indie Hacker Grind (September Edition)

All of our initial 43 methods are complete! A few methods were combined along the way so we ended up with 43. We still have a few images to finish, but that is the last task to finish off our initial methods content development. Pretty exciting! As you can see below, we are seeing some

## Focusing on the problem rather than the solution

I’ve been moving a bit more slowly over the holidays, but with the start of the new year I’m back at it again. I finished the proportional difference methods today, which means all of the “Difference” methods are now finished. This is 25 methods out of the total 45 methods projected for the StatsTest workflow–that’s

## Mapping Out An Intro To Stats Domain

StatsTest.com is making great progress. I just finished the 16th statistical method. All 16 of these methods fall under difference, meaning you want to see whether two groups are significantly different on your variable of interest, rather than relationship or prediction. All 16 of these methods also fall under continuous, meaning the variable that you

## Making Statistics Easy And Simple Is Not So Simple

This week I finished all of the one sample and two sample (continuous dependent variable) tests. Moving on, I just spent a few hours diving into ANOVA, ANCOVA, MANOVA, and MANCOVA analyses in all of their parametric vs non-parametric, repeated measures vs independent, covariate vs no covariate, multiple dependent variables vs single dependent variable, and

## Hello World, this is StatsTest

StatsTest is meant to be extremely user-friendly and practitioner oriented. The goal of StatsTest is to enable anyone that needs to run a statistical test to understand which method they should be using, what assumptions come along with the method, and why the method is the best way to analyze their data. Most stats resources