timoelliott, to statistics

A sobering thought! #statistics #analytics more at timoelliott.com/blog/cartoons

ansate, to datascience
@ansate@social.coop avatar

Attempt at networking post!

Hi! I would love to meet and talk to more people in etc etc

I have a Phd in and I work in

I attend my local American Statistical Assoc meetings sometimes, but they are rare.

I also helped start an R User Group once, (but haven't used R in more than 10 years), and ran a Big Data reading group in

Please boost 😀

gocu54, to statistics

Hello there. So, I never thought I'd ever be using Mastodon for this and its a longshot but I'm looking for a paid job. I'm a senior in College and I'm going to be graduating with a degree in business management in May and I want to be ready. For my skills, I'm well-versed in Microsoft products, particularly Microsoft Excel and Microsoft word though Excel is my prefered application considering I wish to work with spreadsheets. Yes, I'm totally blind but that shouldn't be an issue because of and and . So, if anyone is looking for a dedicated person who genuinely enjoys helping others and working with functions from to functions using , I am willing to work for you so help me . Resume will be sent apon request through DM's. Thank you, and boosts are absolutely encouraged.

cra1g, to statistics
@cra1g@sciences.social avatar
hosford42, to hire
@hosford42@techhub.social avatar

Please boost for reach.

I have run out of severance and now I'm running out of savings. It's do or die now, folks. Job offers, job leads, job hunting advice...please send them all my way, and/or boost for reach. Freelancing is on the table, too. Details about me and what I'm looking for, to follow.

ZachWeinersmith, to comics
@ZachWeinersmith@mastodon.social avatar
gutenberg_org, to books
@gutenberg_org@mastodon.social avatar

English social reformer, statistician and the founder of modern nursing Florence Nightingale was born in 1820.

Nightingale became famous for her work as a nurse during the Crimean War (1853–1856). Beyond her work in the Crimean War, Nightingale was a prolific writer and statistician. She used statistical methods to analyze and present data on healthcare and public health, making significant contributions to the field of medical statistics.

"Diagram of the causes of mortality in the army in the East" by Florence Nightingale. Example of polar area diagram by Florence Nightingale (1820–1910). This "Diagram of the causes of mortality in the army in the East" was published in Notes on Matters Affecting the Health, Efficiency, and Hospital Administration of the British Army and sent to Queen Victoria in 1858. This graphic indicates the annual rate of mortality per 1,000 in each month that occurred from preventable diseases (in blue), those that were the results of wounds (in red), and those due to other causes (in black). The legend reads: The Areas of the blue, red, & black wedges are each measured from the centre as the common vertex. The blue wedges measured from the centre of the circle represent area for area the deaths from Preventable or Mitigable Zymotic diseases, the red wedges measured from the centre the deaths from wounds, & the black wedges measured from the centre the deaths from all other causes. The black line across the red triangle in Nov. 1854 marks the boundary of the deaths from all other causes during the month. In October 1854, & April 1855, the black area coincides with the red, in January & February 1856, the blue coincides with the black. The entire areas may be compared by following the blue, the red, & the black lines enclosing them.

metin, to Animal
@metin@graphics.social avatar
TheConversationUS, to statistics
@TheConversationUS@newsie.social avatar

🚨People in the U.S. are dying at higher rates than in other similar high-income countries, and that difference is only growing.

That’s the key finding of a new study.

Here’s a simple explainer:
https://theconversation.com/annual-numbers-of-excess-deaths-in-the-us-relative-to-other-developed-countries-are-growing-at-an-alarming-rate-204622

golgaloth, to Funny
@golgaloth@writing.exchange avatar

Please share this for normal distribution.

ERDonnachie, to statistics

The Royal Statistical Society has published a free eBook on Data Visualisation:

"Good data visualisation requires appreciation and careful consideration of the technical aspects of data presentation. But it also involves a creative element."

Written by Andreas Krause, @nrennie and Brian Tarran.

Sounds like a good resource for all scientists and people who need to visualise data.

https://royal-statistical-society.github.io/datavisguide/

jetton, to art
@jetton@mastodon.online avatar

Woo-hoo first post. . Old guy trying to figure out what the heck this is. All too many interests, so little time.

In no particular order

Leaving some extra # here so I don’t lose them: ############

alexpghayes, to statistics
@alexpghayes@mastodon.social avatar

Over the past couple years I've been doing more statistical consulting, and I just wrote a blog post about making effective requests for statistics help.

Closely inspired by Caitlin Hudon's data intake form, but specialized somewhat to research/consulting settings.

https://www.alexpghayes.com/post/2023-12-20_getting-statistics-help/

minouette, to Nursing
@minouette@spore.social avatar

Happy birthday to founder of modern nursing, social reformer, statistician, data visualization innovator & writer Florence Nightingale (1820 – 1910)!⁠
Nightingale earned the nickname "The Lady with the Lamp" during the Crimean War, from a phrase used by The Times, describing her as a “ministering angel” making her solitary rounds of the hospital at night with “a little lamp in her hand”. 🧵1/n

udemsar, to ComputerScience
@udemsar@mastodon.scot avatar

🌟Open PhD position on migratory navigation🌟

You will use spatial optimisation to solve the mystery of how birds use geomagnetic field to find their way. Come work with me, @jedalong, Charlotte van der Lijn & Ciaran Beggan.

Send your CV by 11 Dec, contact & more info here:

https://iapetus2.ac.uk/studentships/migratory-geomagnetic-navigation-as-a-spatial-optimisation-problem/

This project would suit a candidate with MSc in , , or with an interest in and .

frod_san, to statistics
@frod_san@ecoevo.social avatar

An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability

https://doi.org/10.1073/pnas.2302491120

Visualizing only inferential uncertainty can lead to significant overestimates of treatment effects, even among highly trained experts

Solution: when possible, plot individual data points alongside statistical estimates

jonny, (edited ) to python
@jonny@neuromatch.social avatar

I'm looking for reviewers for two packages at the moment:

Automata (@pyOpenSci )
Review: https://github.com/pyOpenSci/software-submission/issues/152
Repo: https://github.com/caleb531/automata
A library for simulating finite , pushdown automata, and Turing machines.

Kirstine.jl
( @joss )
Review: https://github.com/openjournals/joss-reviews/issues/6193
Repo: https://sr.ht/~lsandig/Kirstine.jl
A package for Bayesian optimal experimental design with nonlinear regression models.

You'll be working with another reviewer to read and run the code, make sure it fills a basic checklist which usually only takes a few hours, and beyond that whatever youd like to focus on. Both of these are collaborative review processes where the goal is to help these packages be usable, well documented, and maintainable for the overall health of free scientific software.

Its fun, I promise! Happy to answer questions and boosts welcome.

Edit: feel free to volunteer as a reply here, DM me, or commenting on those issues! Anyone is welcome! Some experience with the language required, but other than that I can coach you through the rest.

BBCRadio4, (edited ) to random
@BBCRadio4@social.bbc avatar

What are the facts behind who is coming to the UK as a long-term migrant, who counts as an immigrant and how are the numbers worked out?

Forensic analysis of the statistics that shape our lives. A special edition of More or Less with Tim Harford on BBC Sounds.

https://bbc.in/3qr0m99

CultureDesk, (edited ) to food
@CultureDesk@flipboard.social avatar

The U.S. National Hot Dog and Sausage Council (aka Big Hot Dog) puts out a figure each year claiming to be the number of hot dogs an American eats annually and it's big. 70 hot dogs a year — not including bratwursts, sausages, veggie dogs, or pigs-in-blankets! Defector's Kelsey McKinney wrote this exhaustive investigation on where the heck this number comes from. To augment her research, fediverse-style, we want to know roughly how many hot dogs you personally consume a year. Story may be paywalled.

https://flip.it/1lrQrK

dgar, to statistics
@dgar@aus.social avatar

On average, every adult human has one breast and one testicle.

bentoh, to statistics
@bentoh@mastodon.online avatar

The MCMC sampling is simultaneously finished and unfinished before you wake your computer monitor and look at the progress bar. It's the Schrodinger's MCMC.

nicolaromano, to TodayILearned
@nicolaromano@qoto.org avatar

Are you based in the UK and interested in (in the but even outside!)? Would you like to discuss and with other people from different disciplines?

Then we invite you to a based upon a cross-UK survey of undergraduate teaching in study design and data analysis for , Science, and . The workshop aims to critically examine teaching practice with an eye on improving research reproducibility as a part of science reform.

What can you gain from the workshop?

  • Cross-disciplinary perspective on the challenges faced and approaches to overcome them, and solidarity that comes from openly discussing challenges;

  • Resources for teaching/to influence teaching of stats in an attendees’ own institution;

  • Opportunity to benchmark your teaching programs versus those nationwide;

  • Opportunity to gain “outside the box” (cross-discipline) perspective on why and how to teach study design and analysis;

  • Knowledge of approaches and software people are using across UK to do/teach data analysis.

The workshop will occur 12 June, 2024, at the University of Manchester. We anticipate the fee will be less than £20 (and will most likely be free)

Below, we provide links to (1) view the workshop's itinerary and (2) to sign up to indicate your general interest (we are gauging interest at the moment for organisational purposes; registration will follow).

Link for itinerary:
https://docs.google.com/document/d/1fj_VN3_bJ9H1kXpXqFjVqPR6Kbg5ErVFq7iKldlltu0/edit?usp=sharing

Link to indicate interest:
https://forms.office.com/e/yfTsyPe49e

============================

Organising committee:

  • Crispin Jordan (University of Edinburgh)
  • Nicola Romanò (University of Edinburgh)
  • Kasia Banas (University of Edinburgh)
  • Vanessa Armstrong (Newcastle University)
  • William Kay (Cardiff University)
FMarquardtGroup, to statistics
@FMarquardtGroup@fediscience.org avatar

One of the best websites around the whole web: https://www.gapminder.org

Makes you understand important aspects of the world through beautifully visualized , photos, and quizzes that remove misconceptions. By a Swedish nonprofit.

paulbalduf, to physics
@paulbalduf@mathstodon.xyz avatar

In , scattering amplitudes can be computed as sums of (very many) s. They contribute differently much, with most integrals contributing near the average (scaled to 1.0 in the plots), but a "long tail" of integrals that are larger by a significant factor.
We looked at patterns in these distributions, and one particularly striking one is that if instead of the Feynman integral P itself, you consider 1 divided by root of P, the distribution is almost Gaussian! To my knowledge, this is the first time anything like this has been observed. We only looked at one quantum field theory, the "phi^4 theory in 4 dimensions". It would be interesting to see if this is coincidence for this particular theory and class of Feynman integrals, or if it persists universally.
More background and relevant papers at https://paulbalduf.com/research/statistics-periods/

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LabPlot, to datascience
@LabPlot@floss.social avatar

Below is just a small sample of plots that were created with #lLabPlot.

@labplot

#LabPlot is a FREE, open source and cross-platform Data Visualization and Data Analysis software.

Would you like to share with us your plots made in LabPlot?

#DataAnalysis #DataScience #Data #DataViz #DataVisualization #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #KDE

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