Saya mau tau Continuous distributions dari Sebaran probabilitas. Jelaskan dalam bahasa sunda

Supported on a finite interval

sebaran seragam dina [a,b], nu mana sakabéh titik dina interval nu kawengku mibanda ajén nu ampir sarua.

Sebaran beta dina [0,1], mangrupa sebaran seragam dina kasus husus, nu dipaké dina estimasi probabiliti sukses.

The Triangular distribution on [a, b]

Supported on semi-infinite intervals, usually [0,∞)

Sebaran eksponensial, which describes the time between consecutive rare random events in a process with no memory.

Sebaran gamma, nu ngajelaskeun waktu salila n consecutive rare random events occur in a process with no memory.

The Erlang distribution, which is a special case of the gamma distribution with integral shape paraméter, developed to predict waiting times in queuing systems.

The Log-normal distribution, describing variables which can be modélled as the product of many small independent positive variables.

The Weibull distribution, of which the exponential distribution is a special case, is used to modél the lifetime of technical devices.

Sebaran chi-kuadrat, nu mangrupa jumlah kuadrat n variabel random Gauss  bébas. Ieu mangrupa kasus husus dina sebaran Gamma, sarta dipaké dina tes goodness-of-fit dina statistik.

Sebaran-F, nu mana sebaran rasio dua sebaran variabel normal, dipaké dina analisa varian.

Supported on the whole réal line

Sebaran normal, disebut ogé Gaussian atawa kurva bel. It is ubiquitous in nature and statistics due to the central limit theorem: every variable that can be modélled as a sum of many small independent variables is approximately normal.

Sebaran-t student, dipaké keur nga-estimasi méan nu teu dipikanyaho dina populasi Gaussian.

Sebaran Cauchy, conto sebaran nu teu mibanda nilai ekspektasi atawa varian. Dina fisika biasana disebut Lorentzian, sarta ieu sebaran tina tetapan énérgi teu stabil dina mekanika kuantum. Dina fisika partikel, the extremely short-lived particles associated to such unstable states are called resonances.