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What is meant by gaussian function?

Updated: 4/28/2022
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this function is extremely used in probability theory like this bell curve

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Q: What is meant by gaussian function?
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What kind of graph is a bell shaped curve?

The bell curve graph is another name for a normal (Gaussian) distribution graph. A Gaussian function is a certain kind of function whose graph results in a bell-shaped curve.


What is a shape beginning with g?

Gaussian curve


The Central Limit Theorem is important in statistics because?

According to the central limit theorem, as the sample size gets larger, the sampling distribution becomes closer to the Gaussian (Normal) regardless of the distribution of the original population. Equivalently, the sampling distribution of the means of a number of samples also becomes closer to the Gaussian distribution. This is the justification for using the Gaussian distribution for statistical procedures such as estimation and hypothesis testing.


How did the normal distribution get its name?

According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.


What function sums the numbers in the specified range and then divides the sum by the number zero?

No function will add numbers up and divide the total by zero, as it is a mathematical impossibility to divide by zero. If your question meant to say that you want to divide by the amount of numbers that were summed to make the total, then the function is the AVERAGE function.

Related questions

What is gaussian filter in term of image processing?

the gaussian filter is also known as Gaussian smoothing and is the result of blurring an image by a Gaussian function.


What is the Gaussian copula function for finance what is the equation and how do I solve it?

The Gaussian Copula function for finance has been totally discredited and you shouldn't touch it with a barge-pole. See The Formula That Sank Wall Street in Wired magazine.


What kind of graph is a bell shaped curve?

The bell curve graph is another name for a normal (Gaussian) distribution graph. A Gaussian function is a certain kind of function whose graph results in a bell-shaped curve.


Is probability density function and gaussian distribution function are same?

yes, h=1/sigma(standard deviation)


What kind of probabilistic distribution is followed by the random number generation function in C?

gaussian


What does it mean when you say a variable is normally distributed?

It means that the probability distribution function of the variable is the Gaussian or normal distribution.


What is the probability that a gaussian probability density function will take a value less than -2?

Assuming that you are considering a N(0,1) Gaussian distribution, the answer is approximately 1 in 20. The 0.95%ile (two tailed) occurs at -1.96 and 1.96.


What do you mean by gaussian?

The Gaussian distribution is the same as the normal distribution. Sometimes, "Gaussian" is used as in "Gaussian noise" and "Gaussian process." See related links, Interesting that Gauss did not first derive this distribution. That honor goes to de Moivre in 1773.


What has the author Farag Abdel-Salam Attia written?

Farag Abdel-Salam Attia has written: 'On the distribution function of the interval between zero-crossings of a stationary Gaussian process' -- subject(s): Distribution (Probability theory), Gaussian processes


Autocorrelation Characteristics of Super-Gaussian Optical Pulse?

autocorrelation characteristics of super gaussian optical pulse with gaussian optical pulse.


How do you get symmetric Gaussian curve?

when the signals are symmetric then this signals are gaussian In statistics, the Gaussian curve, also known as the Normal curve, is symmetrical.


What is the difference between white Gaussian noise and additive white Gaussian noise?

A Gaussian noise is a type of statistical noise in which the amplitude of the noise follows that of a Gaussian distribustion whereas additive white Gaussian noise is a linear combination of a Gaussian noise and a white noise (white noise has a flat or constant power spectral density).