View allAll Photos Tagged Statistics
The headquarters of the Spanish National Statistics Institute in Madrid. They were built in 1972, and totally remodeled in 2008 by architect César Ruiz-Larrea and designer José María Cruz Novillo.
Paper at www.stat.columbia.edu/~gelman/research/published/signif4.pdf (PDF)
Let's say that a country, Lagutrop, wants to increase its PISA results and, before deciding on policy, the decision-makers want to know what works by running experiments or studies of intervention effectiveness. These studies compare two variables with similar intervention scales, say expenditure in computer-assisted learning (U) and expenditure in teacher selection and incentive systems (V).
In Study 1, data is collected measuring the effect of U and V (possibly with a lot of covariates). The parameter estimates for the effect of U and V are given by the two bell-curve-like curves on the left above.
Conclusion (as is traditionally presented): Lagutrop should invest in teacher selection and incentive systems, since computer-aided education has no significant effect.
Gelman and Stern problem 1: but the difference between the effects is itself non-significant! If significance is the criterion for disposing of U, then it should also be explained to the decision-makers that significance cannot be used to separate U from V. Specifically, policy-makers in Lagutrop should be told that the rejection of computer-aided education is based on a criterion that also suggests that computer-based education is as effective as teacher recruitment and incentives.
Meanwhile, another group of researchers run a single-variable study (Study 2) considering only the effects of spending money on teachers (in Lagutrop this study would probably have been done by teachers :-).
The results of Study 2 are then presented as supporting the conclusions of Study one, phrased as "Expenditure on teachers shows a significant effect on PISA scores in both studies."
Gelman and Stern problem 2: Studies 1 and 2 predict very different effect sizes for variable V; why the discrepancy? How can two parameter estimates that are significantly different from each other be considered corroboration?
My own take on this problem 2 is the following: suppose the policy-makers in Lagutrop have to decide how much to allocate to this PISA-improvement project, out of a budget that includes other considerations (national defense, jobs for the families and friends of the politicians, police, fire-fighters, etc.). Budgeting will require forecasting. Which of the parameter estimates for effect size will they use to build a forecasting model? Since the two estimates are significantly different, any attempt at aggregation would violate the basic meaning of that significance.
That's what we engineers call a serious execution problem.
(Reblogged at my personal blog.)
A simple infographic with some quick statistics about the micropenis (or microphallus) condition. Please visit www.micropenis.info/p/micropenis.html if you want to learn more, like diagnosis, treatment options, causes etc
!
On Election Day, Nov. 8, 2022, NMH students in advanced statistics conducted exit polls with voters at the city of Greenfield’s voting site and set up an information table in the dining hall about the midterm elections, ballot questions, and the importance of voting.
It´s been such an interesting and fantastic time with all of you here on planet flickr - today my stream reached 1,000,000 views and I just want to say "thank you"! See you on our way here during the next flickr years! :)
Three variables:
- Economic Damage (USD)
- People affected
- People killed
This is an update of www.flickr.com/photos/isdr/6853316682/in/set-721576280153...
You can find a high-resolution PDF here: www.preventionweb.net/english/professional/statistics/
My Twitter stats care of DCortesi's perl script.
I still have a pretty good signal to noise ratio. I don't know how some people handle it when it grows so loud you can't track anything or anyone.
One thing about having a "pro account" again is that it shows you 'stats' of what is being viewed and how they are being viewed.
What it doesn't show you, is why.
Why would views of this post from nine years ago suddenly jump up to where it's my most-viewed post for the day?
www.flickr.com/photos/16422467@N05/4710328639
I mean, baseball has hardly even started, there's no nudity involved, and doesn't appear to be much in the photo that would cause a lot of people to search it out wa-a-ay back in my photostream.
I have to keep an eye out for pervs "faving" too many photos of Jo Ann or the kids, and my 'block' list is pretty long. But many times it's something like this one, tossing a baseball into the air and catching it.. I just don't get it.
But it *is* a good excuse for looking back at our own photos, and remembering the people we were interacting with back then..
Only three google glass users on Flickr? I guess stats don't lie. I would love to see some pictures that show the image quality, but none of Robert Scoble in the shower.
Infographic about obesity in the U.S.
I found this infographic which details the latest statistics about obesity in the United States. You'll be shocked, just as I was when I saw the numbers. It's certainly clear that this is huge problem in the Unites States and measures to prevent it must be taken, and fast.
It was created by a weight loss center located in Los Angeles, it's called La Bariatrics and it's located at Marina Del Rey Hospital.
I'm sharing this under a CC attribute license. So the original source is: www.marinaweightloss.com/obesity/
Over the past two days four of my contacts have uploaded photographs highligting the crisis proportions rhino poaching (I call it murder) has reached in South Africa. Figures vary for 2012 - between 107 and 119 thus far - but even as I write this it's likely the figure will have gone up as more than one rhino a day is killed in South Africa alone. What a senseless, and always brutal, killing as the horn is made up of keratin and has no medicinal properties whatsoever. Take note, you out there having rhino horn, you may just as well chew your own fingernails....!
White rhino, Kruger National Park. As of December 2011 rhino sightings are no longer posted on information maps and notice boards in the Kruger National Park and other wildlife parks.
The indifference, callousness and contempt that so many people exhibit toward animals is evil first because it results in great suffering in animals, and second because it results in an incalculably great impoverishment of the human spirit. ~ Ashley Montagu
This photograph and all others on my photostream are protected by copyright and may not be used on any site, blog or forum without my permission.
two women, for sure not talking about their vital statistics!
see my favourite colors set @ www.flickr.com/photos/nevilzaveri/sets/72157600104017596/
According to Cyber bullying statistics from the i-SAFE foundation, over half of adolescents and teens have been bullied online, and about the same number have engaged in cyber bullying.
www.bullyingstatistics.org/content/cyber-bullying-statist...
This image was taken from
kootation.com/lot-of-suicides-lately-has-been-due-to-bull...
To commemorate World AIDS day on December 1st the South African newspaper Cape Argus used their page numbers on the top of every page of the newspaper to educate the public on statistics relating to the AIDS pandemic in South Africa. All the statistics were collected from UNICEF and the South African Department of Health.
I have yet to calculate how many hours and dollars went into producing this yet-incomplete graph. Meaningless to anybody besides me but satisfying to look at none the less.
for me, it* was more of a constant increase, with only minor peaks...
*sub4science promotion by nurdrage
Grant Thornton's annual matrimonial survey of leading UK family lawyers in 2011 revealed some of the key statistics of UK divorce: at what point in the marriage they are they most likely to happen, for what reason, who are the main instigators, how many cases are concealing assets and more…
- Read more at: www.grant-thornton.co.uk/en/Thinking/uk_statistics_of_div...
Our esteemed leader did a run through his photo statistics around his day 100, so I thought I would do the same.
Happy shots - 53
Sad shots - 18
Head shots - 27
Shots with no face - 21
Nude shots - 13 (not as many as I thought!)
Underwear/swimwear shots - 10
Dress ups - 6
Shots in Hats - 8
Silhouettes - 6
Wet - 1
Shots with silly face - 9
Shots at work - 2
B&W/Sepia shots - 19
Shots in dressing gown - 4
Shots with hubby - 4
Shots with dog - 7
I am at a loss to explain this. Anyone else care to guess why I might have had a spike in viewers like this?????
Consider Kacey Very Curious Indeed!
A few days ago I saw on my stats that I reached the 4 million view which is quite great I think!
I'd like to thank everybody who watch my pictures, comment them, favorite them etc! :)
People with a history of cancer have a 40% greater likelihood of experiencing memory problems that interfere with daily functioning, compared with those who have not.
You should read all of Michael Blastland's articles where he regularly debunks meaningless statistics in the press.