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Replies: 38
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CU Medallion [51340]
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Math bros
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Aug 28, 2024, 1:20 PM
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and whoever else wants to play along...
Some of the stuff I do involves taking a report with a measured value and a 2-sigma uncertainty, and I use these values to do what I do. Well, the most recent report I received included a 1-sigma uncertainty. The last time this happened, my cohort used the 1-sigma value and multiplied by two (duh) to get a 2-sigma value. I'm not sure this is right, since 1-sigma represents effectively 68.2% and 2-sigma is 95.4%. So, my question is am I right or wrong? If I am right, how do I get from the 1-sigma value given to me to a correct 2-sigma value? Obviously 95.4/68.2 = 1.40 so I could multiply my 1-sigma value by 1.4, but I don't know if this is proper in the statistical world or not.
Thanks but not in advance, I will have to provide redheads/t!tties later since I am currently on monitored work computer.
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Heisman Winner [123772]
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Use
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Aug 28, 2024, 1:21 PM
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Heisman Winner [146106]
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All-In [49718]
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TAKE IT TO THE MATH BORED
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Aug 28, 2024, 1:25 PM
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All-In [46891]
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A REAL gummint worker would send the report back and ask them to
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Aug 28, 2024, 1:25 PM
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provide 2 sigma like was probably in the GD instructions they got in the first place.
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Oculus Spirit [80314]
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After sitting on it for a week***
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Aug 28, 2024, 1:29 PM
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CU Medallion [51340]
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Who do you think I am,
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Aug 28, 2024, 1:31 PM
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FBCoachSC®?
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CU Medallion [51340]
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All-In [46891]
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Noice. You seem to have some good pull down there. Can you help me
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Aug 28, 2024, 1:33 PM
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get about $160k I'm owed from the procurement folks down there? They are a full year in the rears. I'm pretty sure they are good for it, but not within our contracted net 30 terms apparently.
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CU Medallion [51340]
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Hahahaha
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Aug 28, 2024, 1:35 PM
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I am not laughing at your predicament in being owed at $160k.
I am laughing at our procurement department because that organization is the worser of the fucking worse, and nothing about this surprises me.
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All-In [25398]
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I'll take a swing at it for you
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Aug 28, 2024, 1:35 PM
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in your shpiel here, it appears as though you're referencing a normal distribution. In that, normal distribution carry that 1 sigma = 68%, 2 sigma = 95%, 3 sigma = 99.5% or something like that.
there fore, if it is a normal distribution, sigma is then defined as the std deviation. the std deviation of a normally distributed set of data acts as a vector.
so your co-worker is correct.
this should help:
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CU Medallion [51340]
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I knew I would get an answer
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Aug 28, 2024, 1:37 PM
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from the GaTech nerd.
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All-In [25398]
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helping those with lesser abilities
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Aug 28, 2024, 1:39 PM
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understand mathematical predicaments is what I do on a daily basis
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CU Medallion [51340]
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Don't get snippy with me, young'n
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Aug 28, 2024, 1:58 PM
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I was on the math team in high school and got a near perfect score on the SAT math portion.
But that was 35 years ago, and I am doing engineering work with an accounting degree.
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All-In [25398]
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missed your response
Aug 29, 2024, 9:19 AM
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I was not on the math team in high school b/c I wasn't a dweeb
I got a perfect score on the SAT math portion
I'm an imaginary engineer doin imaginary engineerin
That explains our flailing nuclear program
jk on that last bit
kinda
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CU Medallion [51340]
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No you didn't
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Aug 29, 2024, 9:23 AM
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You pointed it yesterday not too long after I posted it
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CU Medallion [70720]
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Oh hell yes !
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Aug 29, 2024, 9:24 AM
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.
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All-In [25398]
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forgot to respond
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Aug 29, 2024, 9:25 AM
[ in reply to No you didn't ] |
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then forgot about it
hey man, I don't work for Uncle Sam. got shid to do evernowanagain
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CU Medallion [51340]
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Re: forgot to respond
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Aug 29, 2024, 9:36 AM
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All-In [25398]
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Re: forgot to respond
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Aug 29, 2024, 9:38 AM
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CU Medallion [70720]
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Heisman Winner [109511]
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I'm not sure but in case nobody has mentioned it, you can sigma
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Aug 28, 2024, 1:35 PM
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balls
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Hall of Famer [23757]
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Have you measured the Ligma
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Aug 28, 2024, 4:42 PM
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Balls?
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CU Medallion [70720]
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Re: Math bros
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Aug 28, 2024, 2:22 PM
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Listen, the secret is in the active ingredients, Breaking Bad always eliminated on key step in their cook montagues.
Don't overcomplicate it
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110%er [5841]
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Re: Math bros
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Aug 28, 2024, 3:37 PM
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Which step, exactly?
...asking for a friend.
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Lot o points [170275]
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Chat GPT says.........
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Aug 28, 2024, 6:31 PM
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Yes, multiplying the 1-sigma uncertainty by two to estimate the 2-sigma uncertainty is correct, assuming a normal (Gaussian) distribution.
Explanation:
• 1-Sigma (1σ) Uncertainty: This represents the range within which 68.3% of the measurements are expected to fall.
• 2-Sigma (2σ) Uncertainty: This represents the range within which 95.4% of the measurements are expected to fall.
In a normal distribution, the 2-sigma uncertainty is approximately twice the 1-sigma uncertainty. Therefore, if you have a 1-sigma uncertainty value, multiplying it by 2 gives you a good approximation of the 2-sigma uncertainty.
Example:
• If the report gives a 1-sigma uncertainty of 5 units, the 2-sigma uncertainty would be approximately 5 \times 2 = 10 units.
This approach is commonly used and generally accepted in practice when dealing with uncertainties in normally distributed data.
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Heisman Winner [109511]
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Revisiting this...because it bothers me. I took alot of Math at Clemson, was
Aug 29, 2024, 8:56 AM
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one class short of a Math minor, I think, because of the requirements for Engineering.
All that and I do not recall ever hearing of what this question is even talking about. How did I miss out on this? Or was it in some even higher math that I never got to?
Thanks
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CU Medallion [51340]
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Did you take statistics?
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Aug 29, 2024, 9:11 AM
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Would have been covered in there, I would think. I did but as I said, we are talking 3+ decades ago.
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Heisman Winner [109511]
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I did, and I recall my statistics teacher looking like Farrah Fawcett which was
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Aug 29, 2024, 9:18 AM
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weird because he was a dude.
IIRC I didn't take that class very serious because I was just taking CE classes at that time and wasn't really interested in statistics.
OR, I took an easy non-engineering version of that class and we never covered that.
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Heisman Winner [109511]
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All-In [25398]
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All-In [25398]
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I'll take a swing at it for you
Aug 29, 2024, 9:18 AM
[ in reply to Revisiting this...because it bothers me. I took alot of Math at Clemson, was ] |
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tl;dr:
1 - you don't statistics to design bridges
2 - you're a drunk and forgot
there's two pathways here:
Uno:
In traditional engineering programs (CE, ME, EE, even ChemE + chemistry obviously), mathematical requirements are rooted in physics and calculus. The whole "Isaac Newton inventing calculus" deal to be able to prove out physical observations via mathematical form.
something like that, not a historian by any stretch.
Diff EQ, Def Bods, Statics, etc. etc. all those are rooted in calculus.
This is statistics. You would have maybe had an introduction into statistics in high school, or some sort of freshman elective, but highly doubtful. Prolly (at least at Tech this was the difference), Calc 1, Calc 2, Calc 3, then you get into all the advance mathematics classes that are further refinement of calculus.
Imaginary engineering is the opposite. Our root mathematics is not calculus, it's statistics and linear algebra (algos). Couple those two, you're able to get into simulations, optimization, stochastics (little bit of calc, but not near what you guys did), regression, and other sorts of modeling. It's really more data science with applied statistics than anything....again, at least that's how it was a Tech (which is a rather good benchmark to compare in Imaginary Engineering, objectively speaking).
Alternate:
You were a raging drunken stoner bro eating tabs and you just forgot.
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Heisman Winner [109511]
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Statistics was required, IIRC, but it wasn't with other Engineering students
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Aug 29, 2024, 9:21 AM
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like the 3 Calcs and DifEQ were.
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All-In [25398]
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interesting
Aug 29, 2024, 9:26 AM
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so option 2?
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Heisman Winner [109511]
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Probably a little of one and a little of two
Aug 29, 2024, 9:30 AM
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Butt mostly three, that was twenty something years ago and I haven't used it since then. Much like my peanus, if you don't use it, you lose it.
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All-In [25398]
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Re: Probably a little of one and a little of two
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Aug 29, 2024, 9:33 AM
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Heisman Winner [109511]
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Maybe?***
Aug 29, 2024, 9:34 AM
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Oculus Spirit [95616]
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You make a living doing this chit?***
Aug 29, 2024, 9:00 AM
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CU Medallion [51340]
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No
Aug 29, 2024, 9:10 AM
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I make a living making that nasty radioactive waste "go away"
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Replies: 38
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50
