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A 3.75%

B 8.96%

C 6.38%

D 5.65%

E 2.03%

F 3.63%

G 5.34%

H 5.59%

I 0.76%

J 1.36%

K 5.70%

L 5.24%

M 8.28%

N 2.13%

O 1.63%

P 5.27%

Q 0.26%

R 4.80%

S 10.93%

T 3.88%

U 0.47%

V 2.55%

W 3.46%

X 0.02%

Y 0.65%

Z 1.29%

per the US 2000 Census table of all valid last names appearing the 100 or more times (covering 90% of responses).

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2015-08-24 17:25:25
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Henry Hiott

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2021-02-04 21:21:42
Thank you so much for sharing this!
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Q: What is the percent distribution of first letters in last names in the US?
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Why is the Normal Distribution called normal?

Suppose you could call it the Gaussian Distribution or the Laplace-Gauss (not to be confused with the Laplace distribution which takes an absolute difference from the mean rather than a squared error)... however the Brits had no one to name this distribution after (not the German and French names) and because it is the ubiquitous distribution they just called it... well the NORMAL!!


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No one "invented" it; it occurs naturally in a wide variety of real world situations. As for who discovered it and described it mathematically, that's another story. The normal distribution is also known as the Gaussian distribution, after Johann Carl Friedrich Gauss (30 April 1777 to 23 February 1855). It was he first discovered the equations governing the distribution (in 1809) but saw it only as a tool for analysis of measurements. In 1810, Pierre-Simon, marquis de Laplace (23 March 1749 - 5 March 1827) proved its theoretical importance in math. But is was James Clerk Maxwell (13 June 1831 - 5 November 1879) who, decades later showed that the distribution also directly describes certain natural phenomena. It is worth noting that Gauss, Laplace, and Maxwell each made numerous other contributions to mathematics and science, so one tends to see their names all over the place.


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In statistics, θ, the lowercase Greek letter 'theta', is the usual name for a (vector of) parameter(s) of some general probability distribution. A common problem is to find the value(s) of theta. Notice that there isn't any meaning in naming a parameter this way. We might as well call it anything else. In fact, a lot of distributions have parameters which are usually given other names. For example, it is common use to name the the mean and deviation of the normal distribution μ (read: 'mu') and deviation σ ('sigma'), respectively.


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