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The gamma distribution is a probability distribution that characterizes many situations that arise in statistics, finance, engineering, and elsewhere.

Uniform distributions one of the simplest probability distributions and it is useful in a wide variety of problems. It is also known as the rectangular distribution and it is one of the most important, describing the behavior of random variables in the rectangular regions.

The exponential distribution is one of the most used distribution for describing the random variables. The exponential distribution is a continuous probability distribution. It is used in probability to describe the random variables.

In statistics, a normal distribution is a continuous probability distribution that can be used as a model for various aspects of data, including the mean and standard deviation.

One of the first equations introduced in fluid mechanics, the Navier Stokes equation describing the flow of fluids.

The probability density of the Poisson distribution, a result used in many fields of science, from probability and statistics to other theories.

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A Bernoulli equation describes the pressure and velocity of a fluid moving through a pipe.

One of the first equations introduced in fluid mechanics, the Navier Stokes equation describing the flow of fluids.

The probability density of the Poisson distribution, a result used in many fields of science, from probability and statistics to other theories.

A Bernoulli equation describes the pressure and velocity of a fluid moving through a pipe.

Reynolds numbers, one of the most important characteristic of fluids and canalizations, very important notion of fluid dynamics used in engineering and other fields.

Reynolds numbers, one of the most important characteristic of fluids and canalizations, very important notion of fluid dynamics used in engineering and other fields.

Cosmic microwave background. Whole sky image of the cosmic microwave background made by the MAP (Microwave Anisotropy Probe) spacecraft. This map indicates that the age of the universe is around 13.7 billion years. The data also reveal that the universe is expanding at 71 kilometres per second per megaparsec (1 Mpc = 3262 light years). The colours reveal variations in the temperature of the universe in all directions. This correlates to the density of material at the time when the universe became transparent to radiation, about 380,000 years after its creation. The denser regions (red, yellow) formed the seeds of galaxies and other structures. Data obtained in 2003.

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Cosmic microwave background. Whole sky image of the cosmic microwave background made by the MAP (Microwave Anisotropy Probe) spacecraft. This map indicates that the age of the universe is around 13.7 billion years. The data also reveal that the universe is expanding at 71 kilometres per second per megaparsec (1 Mpc = 3262 light years). The colours reveal variations in the temperature of the universe in all directions. This correlates to the density of material at the time when the universe became transparent to radiation, about 380,000 years after its creation. The denser regions (red, yellow) formed the seeds of galaxies and other structures. Data obtained in 2003.

The central limit theorem one of the most important results of probability and statistics used to approximate the average of random variables as a normal distribution