In mathematics, the moments of a function are certain quantitative measures related to the shape of the function's graph. If the function represents mass density, then the zeroth moment is the total mass, the first moment (normalized by total mass) is the center of mass, and the second moment is the moment of inertia. If the function is a probability distribution, then the first moment is the expected value, the second central moment is the variance, the third standardized moment is the skewness, and the fourth standardized moment is the kurtosis. The mathematical concept is closely related to the concept of moment in physics.
For a distribution of mass or probability on a bounded interval, the collection of all the moments (of all orders, from 0 to ∞) uniquely determines the distribution (Hausdorff moment problem). The same is not true on unbounded intervals (Hamburger moment problem).
In the mid-nineteenth century, Pafnuty Chebyshev became the first person to think systematically in terms of the moments of random variables.
I'm supposed to give a speech sa alma mater ko. Hindi ko alam anong utak meron ako, habang nag-i-speech ako bigla kung naalala yung nakakatawang part ng isang movie (Crazy Stupid Love - Gosling/Steve Carell/Emma Stone) ayon p**a tumawa ako sa stage ng solid 30 seconds kahit walang nakakatawa sa...
By Pat A. Fleming
Live in the moment,
Just take it all in.
Pay attention to everything,
Right there and right then.
Don’t let your mind wander
To what’s coming next.
Cherish this moment
And give it your best.
Don’t let tomorrow
Make you rush through today,
Or too many great moments
Will just go...
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