What does probability density function curve show?
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★ PROBABILITY DENSITY FUNCTION ★
The curve representing the probability density functions show the maximum and minimum value of the data coverage under them [ Area under the curve ] it's literally the probability data of parameters which measures the multiple events at a time , multiple events occurs at many regimes , so , we can implant it in many ways , by disintegration and integration of the curves and representative data can yield many useful information about random probability distribution over symmetrical or asymmetrical data collection , that's why it's stated as probability density function or mass functions
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The curve representing the probability density functions show the maximum and minimum value of the data coverage under them [ Area under the curve ] it's literally the probability data of parameters which measures the multiple events at a time , multiple events occurs at many regimes , so , we can implant it in many ways , by disintegration and integration of the curves and representative data can yield many useful information about random probability distribution over symmetrical or asymmetrical data collection , that's why it's stated as probability density function or mass functions
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Probability densities are like other densities; they're derivatives. The probability density function f is the derivative of the cumulative distribution function F of the random variable X.
f(x) is about equal to the probability that Xlies in the interval I = [x,x+h] divided by the length h of the interval I.
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Probability densities are like other densities; they're derivatives. The probability density function f is the derivative of the cumulative distribution function F of the random variable X.
f(x) is about equal to the probability that Xlies in the interval I = [x,x+h] divided by the length h of the interval I.
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