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nforma

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The answer NFORMA has 0 possible clue(s) in existing crosswords.

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The word NFORMA is NOT valid in any word game. (Sorry, you cannot play NFORMA in Scrabble, Words With Friends etc)

There are 6 letters in NFORMA ( A1F4M3N1O1R1 )

To search all scrabble anagrams of NFORMA, to go: NFORMA?

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Scrabble results that can be created with an extra letter added to NFORMA

FORAMEN FORMANT FROGMAN NONFARM FOREMAN

5 letters out of NFORMA

FORAM MANOR ROMAN

4 letters out of NFORMA

FANO FARM FARO FOAM FORA FORM FROM MANO MOAN MORA MORN NOMA NORM ROAM ROAN

3 letters out of NFORMA

ARF ARM FAN FAR FON FOR FRO MAN MAR MOA MON MOR NAM NOM NOR OAF OAR ORA RAM RAN ROM

2 letters out of NFORMA

AM AN AR FA MA MO NA NO OF OM ON OR

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Definitions of nforma in various dictionaries:

NFORMA - In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution. Normal...

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Nforma might refer to
In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.
* The normal distribution is useful because of the central limit theorem. In its most general form, under some conditions (which include finite variance), it states that averages of samples of observations of random variables independently drawn from independent distributions converge in distribution to the normal, that is, become normally distributed when the number of observations is sufficiently large. Physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have distributions that are nearly normal. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed.
* The normal distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as the Cauchy, Student's t, and logistic distributions).
* The probability density of the normal distribution is*
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* {\displaystyle f(x\mid \mu ,\sigma ^{2})={\frac {1}{\sqrt {2\pi \sigma ^{2}}}}e^{-{\frac {(x-\mu )^{2}}{2\sigma ^{2}}}}}
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* is the variance.
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