I thought this was science memes! What's statistics doing here?
this post was submitted on 18 Feb 2026
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Science Memes
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At least the first item in your list is called number 1 like a real human.
As a programmer I now feel compelled to troll everyone by convincing the project to change the indexing to 0
Haha, wait 'til you find out about how statisticians name and label competing hypotheses; good luck sorting that out!
Ho, and Alternate Ho?
Null hypothesis, as in the data shows no evidence to suggest that there is any statistical difference between the 2 outcomes. At least, thats how I understand it.
Null Hypothesis (H0) – This can be thought of as the implied hypothesis. “Null” meaning “nothing.” This hypothesis states that there is no difference between groups or no relationship between variables. The null hypothesis is a presumption of status quo or no change.
Alternative Hypothesis (Ha) – This is also known as the claim. This hypothesis should state what you expect the data to show, based on your research on the topic. This is your answer to your research question.
I stand by my derogative statements
Ho with a significant p-ness is everyone's favourite.
😂 ok only just got the pun..
Null hypothesis always bugged me coming from a software background. Why the double negative! Just confuses me!
I am sorry you have to use R, you can perhaps enroll in a support group
I did but that turned out to be yet another stats course in R.
rinternet explorer?
ruh-roh!
If you dislike R, give Julia a try!
I have a good friend like you. Smart guy, talks about R but mostly about Julia.
Decided to write his own transpiler. Dropped off the face of the earth. I wish I had more friends like that
Are the two events related?
They're adjacent
Actually I like it Its fun if it works ;P
unfortunately, julia has been adding "agentic code" to their codebase for a while now.
What's the advantage of either of them compared to a jupyter notebook?
Jupyter notebook isn't a language, it's a tool for running interactive sessions, typically with Python, but in principle with any language. I'm fairly certain people run Julia in Jupyter Notebooks.
As for the advantages of Julia versus Python, arrays are native types, so they interface better across the entire language. It's also shockingly fast in comparison, it compiles the code at runtime, so the longer the program runs, the faster it is.
If there is a use-case for R that Julia or Python can't do, I haven't seen it. I personally don't see the point of writing code in R when the Python and Julia are more broadly useful to learn.
I have "Я" in my language. So it is relevant for me. I just see nothing good in that.
🏴☠️
Rated R
This might be the first science meme that has completely and utterly flown over my head. I have zero comprehension here.
Toys "R" Us is a chain of toy stores which went bankrupt and shut down all US locations in 2018, although it has recently returned to the US as of 2022.
R is a statistics focused programming language which sees wide use in the field of data science.
The meme features characters from the cartoon "The Regular Show". In the first panel, all the characters are together, interestingly one character for each letter in Toys R Us. In the second panel, only the character representing the R remains, indicating the transition from childhood (toys) to adulthood (statistics). The science part of the meme is mostly just the statistical analysis reference.
R is a lifesaver because it is free. Totally sucked learning it but I am glad I have that skill under my belt.
Lesson 1 - Plot every pair of variables in this file as a scatter plot using Excel. Calculate every pair of correlations possible from the same file in Excel.
Lesson 2 - ggpairs and why R is amazing