Hesabu ya Watu Ambao Ni Kawaida
Chunguza ikiwa kuna uwezekano wa kupata chembe hizo kwa wingi na kwa njia nyingine, na hilo litamsaidia mtu apoteze thamani yake.
Matokeo yanakuwa bora zaidi unapochapa.
Kuhusu kifaa hiki cha kupigia hesabu
The normal (Gaussian) distribution is the classic symmetric bell curve that describes heights, measurement errors, test scores and countless other natural quantities. Given a value x, a mean μ and a standard deviation σ, this calculator returns the probability density at x, the cumulative probability P(X ≤ x) (the area under the curve to the left), the right-tail probability P(X ≥ x) and the equivalent z-score, and plots the curve.
Internally it converts x to a z-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Enter an optional upper bound x₂ to get the range probability P(x ≤ X ≤ x₂), computed as the difference of the two cumulative values.
Worked example: for a distribution with μ = 100 and σ = 15, a value of x = 120 has a z-score of (120 − 100) ÷ 15 ≈ 1.33, so P(X ≤ 120) is about 90.9% and the right tail P(X ≥ 120) about 9.1%. This is the tool behind IQ scores, control charts and the empirical 68–95–99.7 rule.
Maswali yaliyoulizwa mara nyingi
Kuna tofauti gani kati ya mkundu na kadf?
The probability density (pdf) is the height of the bell curve at x; it is not a probability by itself. The cumulative distribution (cdf) is the area under the curve up to x, which gives the probability of a value at or below x.
Kwa nini uwezekano wa sufuri kuwa na thamani kamili ni nini?
Kwa ugawanyaji unaoendelea kama kawaida, nafasi yoyote hususa ina uwezekano wa sufuri tu ni safu zisizo na uwezekano wa kupata joto. Ndiyo sababu tunaripoti uzito kwenye x na eneo la jumla badala ya PÉX = x).
What is the 68–95–99.7 rule?
For a normal distribution about 68% of values lie within one standard deviation of the mean, 95% within two and 99.7% within three. It is a quick way to judge how unusual a value is without computing the exact area.
Kuna uwezekano gani kwamba nitafuata kanuni mbili?
Ingiza thamani ya chini kama x na juu zaidi kama x2; mashine ya kupigia hesabu yarudi P ngumu Éx x2) kwa kuondoa uwezekano wote katika sehemu ya chini kutoka ile iliyo juu.
Kuna tofauti gani kati ya ugawanyaji wa kawaida na kiwango cha kawaida?
Kiwango cha kawaida ni kusambaza kwa njia ya kawaida 0 na kuacha sura ya 1.. kuigeuza kuwa thamani ya ramani zake kwenye kawaida, na hivyo ndivyo kifaa hiki kinavyopima nguvu za faida kwa kila faida ya faida ya faida ya faida ya faida ya faida ya faida yake.25 na faida.
Je, ni lazima habari zangu ziwe za kawaida kabisa?
Hakuna data halisi iliyo ya kawaida kabisa, lakini matokeo ni yenye kutegemeka wakati data hii inapotangazwa kwa ukali na kwa usahihi kabisa.
API bustanini hutumia kifaa hiki cha hesabu kutoka kwenye mfumo wa sheria
Ipigie simu kifaa hiki cha kupigia hesabu kama Junse É not doot toder. Chochote unachoacha kinatumia kiwango kilekile cha mwisho ambacho ukurasa huu haujakamilika; parameta isiyojulikana ni 400, si sufuri kimya kamwe. Soma habari kamili za API docs →
keyboard label
GET https://calculator.free/api/v1/normal-distribution/
curl
curl "https://calculator.free/api/v1/normal-distribution/?x=120&mean=100&sd=15"
JavaScript fetch()
const r = await fetch(
"https://calculator.free/api/v1/normal-distribution/?" + new URLSearchParams({
"x": "120",
"mean": "100",
"sd": "15"
}));
const data = await r.json();
console.log(data.results);
Matokeo ni makadirio ya mwongozo wa ujumla, si wa kifedha, wa kitiba au wa kodi tu.