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#statistics

6 posts6 participants1 post today
Public
Brad Duthie

I've finished an audiobook version of my #statistics textbook for biological and environmental sciences with #jamovi -- all free and available on my website and Spotify (bradduthie.github.io/audiobook). I initially underestimated how much my own students would want this, so my hope is that others my benefit from it. Please feel free to contact me if you're teaching an introductory statistics class and are looking for resources! #rstats #stats bradduthie.github.io/blog/stat

bradduthie.github.ioFundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi
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marqle

It's weird what grabs the attention and what doesn't.

I was looking up some UK #statistics and it looks like the most dangerous thing our sons do is drive a car.

Over 78% of all car fatalities are male and that's even higher in the younger groups.

Strangely, that's not why men's insurance is higher. That's mostly because men are more likely to make a claim.

Apparently women cause more accidents per capita in the #USA, which is a very odd geographical difference if you ask me.

These are the kinds of discrepancies that make me suspicious of #social #research

Someone must be getting this wrong, surely. #american #women can't be worse #drivers than their #British counterparts, can they?

#cars#driving#roads
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Chris Alemany🇺🇦🇨🇦🇪🇸

Anyone out there qualified to answer this question?

Why is there no margin-of-error in the results from reputable online polling?

This is so common for political polls now, yet it seems they are automatically not as reliable as traditional telephone polling. Or is my conclusion wrong/misguided.

If anyone is a statistician or polling expert out there, I'd love to know!

GIF
#CanPoli#CdnPoli#Polls
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Joris Meys

While reading this great paper by @djnavarro I learnt a new term: mathematistry (Box, 1976). It's using formal tools to define a statistical problem that differs from the scientific one, solving the redefined problem, and then declaring the scientific concern addressed.

The rest of the article was a great read and insight. That term was a little slap in the face that a lot of statisticians should get once in a while 🙂

#statistics #modelling #review #Science

link.springer.com/article/10.1

SpringerLinkBetween the Devil and the Deep Blue Sea: Tensions Between Scientific Judgement and Statistical Model Selection - Computational Brain & BehaviorDiscussions of model selection in the psychological literature typically frame the issues as a question of statistical inference, with the goal being to determine which model makes the best predictions about data. Within this setting, advocates of leave-one-out cross-validation and Bayes factors disagree on precisely which prediction problem model selection questions should aim to answer. In this comment, I discuss some of these issues from a scientific perspective. What goal does model selection serve when all models are known to be systematically wrong? How might “toy problems” tell a misleading story? How does the scientific goal of explanation align with (or differ from) traditional statistical concerns? I do not offer answers to these questions, but hope to highlight the reasons why psychological researchers cannot avoid asking them.
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Francois Dion

#gohabsgo will be on the road this week with 4 games between Tuesday and Sunday.

Special units will be key. Powerplay has to improve, and PK cannot give 2+ goals if they want to win.

Updated the PP per game chart, and instead of posting an image, I put the interactive chart online so you can play with it.

#habs #canadiens #montreal #sports #analytics #hockey #nhl #hnom #statistics #viz #dataviz #barchart

sports.dionresearch.com/CH/CH_

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Karl Voit :emacs: :orgmode:

The ultimate guide to #developer happiness
github.blog/engineering/engine

"#Developers who carve out time for #deepwork enjoy 50% more #productivity, while those that get work they find engaging are 30% more productive."

"When developers understand their code, they’re 42% more productive. When developers are able to get faster turnaround times, they are 20% more innovative."

The GitHub Blog · The ultimate guide to developer happinessFive actionable tips and strategies to supercharge developer happiness—and a more innovative workplace.
#LLM#programming#coding
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#statistics
Public
Víctor Vicente-Palacios

Great episode of #TechWontSaveUs with @timnitGebru

It's a real pleasure to listen to such a rich conversation on such diverse topics.

I especially liked how the topic of how the #AI industry labels people and methods was addressed.

It's the same for me, I've ended up assuming I'm a #DataScientist when I'm actually a #mechanical #engineer with a #PhD in #statistics. But the industry has decided that what I am is something I haven't studied about.

techwontsave.us/episode/267_ai

Tech Won't Save UsAI Hype Enters Its Geopolitics Era w/ Timnit Gebru - Tech Won’t Save UsA left-wing podcast for better technology and a better world.
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kazé

Dear LazyWeb: is there a C/C++, #RustLang or #Zig equivalent of #SciPy’s `stats` module for statistical analysis? Namely:
• a collection of common PDFs (probability density functions);
• MLE (maximum likelihood estimation) for these common distributions;
• KDE (kernel density estimation).

SciPy’s API is a pleasure to work with. Anything that comes close but usable from C/C++/Rust/Zig would make my life so much easier. Boosts appreciated for visibility.

#statistics#probability#DataScience
Replied in thread
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NiceMicro

@grimalkina
to know how representative the data is, they should know what the composition of the population is.

which, I highly doubt. Especially, if it is an international survey of a specific field. Do we know the ratio of women in tech in the country of X? Do we know it in the aggregate of the countries we are surveying?

I'd also bet you a shining dollar, that these are also over-representing English native speakers.

Doing statistics is easy. Doing good #statistics is almost impossible.

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