Nice! The confidence interval that this link might prove useful in explaining p-values to those who don't understand them is 0.57 to 0.99 with a p-value of 0.0001......
Pretty good, but I'm not sure why they don't use the term "false positive." p ≤ .05 means "less than 5% chance of a false positive," which is a fairly concise way of putting it. Laypeople can relate to this concept; if nothing else, you can explain it in terms of pregnancy (or any arbitrary medical screening) tests.
This guy doesn't understand that even the readers of Science have trouble understanding what's meant by 40% POP in the weather report. I really doubt that some wording change is going to affect their confidence in a study.
An engineer is working at his desk in his office. His cigarette falls off the desk into the wastebasket, causing the papers within to burst into flames. The engineer pulls out his engineering pad, does a quick calculation, grabs the fire extinguisher and sprays the fire for exactly 5.2 seconds to put it out, and goes back to work.
A physicist is working at his desk in another office and the same thing happens. He looks at the fire, looks at the fire extinguisher, and thinks "Fire requires fuel plus oxygen plus heat. The fire extinguisher will remove both the oxygen and the heat in the wastebasket. Ergo, no fire." He grabs the extinguisher, puts out the flames, and goes back to work.
A statistician is working at his desk in another office and the same thing happens. He immediately grabs a piece of paper, lights it on fire and begins setting fires throughout the room. "What are you doing???" shout his co-workers, to which he replies, "I need more data points!"
bhcompy:So p-value is a stuck up, holier-than-thou way of saying probability?
It's a specific type of probability. And it's used by everyone in all the sciences, as far as I know, so it's only as stuck up as academia as a whole is.
RodneyToady
2009-11-01 08:49:44 PM
Msol
2009-11-01 09:37:16 PM
horse-pheathers
2009-11-01 10:25:55 PM
Mentat
2009-11-01 10:31:01 PM
squidzilla
2009-11-01 10:46:34 PM
No, they aren't. They're average.
yogaFLAME
2009-11-01 10:50:19 PM
Jaakobi
2009-11-01 10:57:16 PM
No, they aren't. They're average.
LOL
Mentat
2009-11-01 10:59:31 PM
No, they aren't. They're average.
That's just mean.
wildsnowllama
2009-11-01 11:15:01 PM
No, they aren't. They're average.
That's just mean.
It's a standard deviation...
Russ1642
2009-11-01 11:21:58 PM
OgreMagi
2009-11-01 11:23:01 PM
Katie98_KT
2009-11-01 11:40:33 PM
not true. I read to the 2nd question or so.
/ok, so I'm getting my masters, so I'm probably above average.
NeauxFear
2009-11-02 12:04:07 AM
More like bimodal. ;)
musashi1600
2009-11-02 12:07:03 AM
No, they aren't. They're average.
That's just mean.
It's a standard deviation...
r you sure?
jesdynf
2009-11-02 12:16:29 AM
RoyBatty
2009-11-02 12:22:14 AM
More like bimodal. ;)
Farking mean.
Mentat
2009-11-02 12:25:16 AM
A physicist is working at his desk in another office and the same thing happens. He looks at the fire, looks at the fire extinguisher, and thinks "Fire requires fuel plus oxygen plus heat. The fire extinguisher will remove both the oxygen and the heat in the wastebasket. Ergo, no fire." He grabs the extinguisher, puts out the flames, and goes back to work.
A statistician is working at his desk in another office and the same thing happens. He immediately grabs a piece of paper, lights it on fire and begins setting fires throughout the room. "What are you doing???" shout his co-workers, to which he replies, "I need more data points!"
MrCheeks
2009-11-02 01:15:24 AM
Barakku
2009-11-02 01:25:53 AM
No, they aren't. They're average.
That's just mean.
It's a standard deviation...
r you sure?
I see we're in pun mode
brassknizz
2009-11-02 01:35:08 AM
/get your confounding variables out of my null hypothesis
mr lawson
2009-11-02 01:37:13 AM
it's an Alpha thing
mr lawson
2009-11-02 01:43:31 AM
holiday_inn_in_cambodia
2009-11-02 01:59:55 AM
it's an Alpha thing
ruh rho says Scooby
bhcompy
2009-11-02 02:21:06 AM
Number41
2009-11-02 02:31:50 AM
It's a specific type of probability. And it's used by everyone in all the sciences, as far as I know, so it's only as stuck up as academia as a whole is.