I-P-Ixabiso leKhalenda (esuka ku-Z)

Gcina i z- inqaku kwi p- ixabiso elincinane okanye eliphindwe kabini.

Ixabiso le-P —
I-Alpha = 0.05 —
P (Z ≤ z) —
I-P ethe tyaba ekunene (Z ≥ z) —
I-Double-tailed —

Iinketho ze projekti

Ingaba le calculator ikunika umyalezo olungileyo?

Malunga nale Calculator

This p-value calculator converts a z-score (the standard-normal test statistic) into a p-value — the probability of observing a result at least as extreme as yours if the null hypothesis is true. A small p-value means your data would be surprising under the null hypothesis, which counts as evidence against it.

Choose a left-tailed, right-tailed or two-tailed test; all three p-values are shown so you can compare. The left-tailed value is P(Z ≤ z), the right-tailed value is P(Z ≥ z), and the two-tailed value is 2 × P(Z ≥ |z|) — double the smaller tail. All come from the standard-normal cumulative distribution, so this tool applies to z-tests and large-sample approximations, and the result is flagged against the conventional α = 0.05 threshold.

Worked example: a z-score of 1.96 gives a right-tailed p-value of about 0.025 and a two-tailed p-value of about 0.050 — exactly the classic 5% cutoff, which is why 1.96 is the critical value for a 95% two-sided test. Since 0.05 is not below 0.05, that result sits right on the border of significance.

Imibuzo ebuza rhoqo

Yintoni ixabiso le-p?

Ixabiso le-p liqinisekile, ukuba i-null hypothesis iyinyaniso, yokufumana uvavanyo lwesibalo esincinci njengesinye esibonisiweyo. Ixabiso le-p elincinci lithetha ukuba idata yakho ayizukubakho phantsi kwe-null hypothesis, eyiyo iqinisekiso elinxulumene nayo.

Ixabiso le-p eliphindwe kabini lihlukile njani kwixabiso le-p eliphindwe kabini?

Uvavanyo olunomhlathi omnye lubala iziphumo ezigqithisileyo kuzo zombini iincam, ngoko ixabiso layo le-p liphindwe kabini kunexabiso elilodwa elilodwa lo |z|. Sebenzisa olunomhlathi omnye xa ukhathalela kuphela ukuba kukho utshintsho, kunye nolunye olunomhlathi omnye xa ulindele umendo phambi kokuba uqale.

Ingaba i-p < 0.05 ihlala ibalulekile?

0.05 yinkqubo eqhelekileyo kuphela, ayiyiyo umthetho. Ithetha ukuba i-5% yethuba lokuba ngumntu olungileyo ongalunganga. Kuxhomekeke kwicandelo kunye nexabiso lokuba ngumntu ongalunganga, amanqanaba aphezulu afana ne-0.01 ahlala efanelekileyo.

Ndiguqula njani i z- score kwi p- value?

Khangela ummandla wecala lonikezelo olusezantsi- oluqhelekileyo ngaphezulu kwez- score yakho. Eli sixhobo siyenza kuwe: icala lasekhohlo li P( Z ≤ z), icala lasekunene li 1 − P( Z ≤ z), nexabiso le p eliphindwe kabini liphindaphindwe ngaphantsi kwezimbini.

Ingaba ixabiso elikhulu le-p libonisa ukuba i-null hypothesis yinyaniso?

Akukho nto. Ixabiso elikhulu le-p lithetha kuphela ukuba idata yakho ihambelana ne-null hypothesis, hayi ukuba i-null iqinisekisiwe. Ukungabikho kobungqina obuchaphazelayo akuyikuba ngumqondiso wokuba kunjalo; ungalahla ubungakanani besampuli ukuvavanya i-effect.

Ndifanele ndisebenzise njani ixabiso le-p elisekelwe kwi-z endaweni yexabiso elisekelwe kwi-t?

Sebenzisa ixabiso elisekelwe kwi z xa utshintsho olusezantsi lwesiqulatho soqoqosho luziwa okanye umzekelo ukhulu (obukhulu n ≥ 30). Kwizikhombisi ezincinci ezinesiqulatho esisezantsi esiqikelelwayo, unikezelo lwe t lunika ixabiso le p elichanekileyo.

Yintoni utshintsho phakathi kwexabiso le-p kunye nomgangatho obalulekileyo?

The significance level α is a threshold you set in advance, such as 0.05. The p-value is computed from your data. You reject the null hypothesis when the p-value falls below α.

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API — sebenzisa le calculator ukusuka kwikhowudi

Nceda le khadi lemali njengendawo esemva ye-JSON ekhululekileyo - akukho qhosha lifunekayo. Thumela amaxabiso endawo ezantsi njengeparameter yombuzo okanye i-JSON. Nantoni na oyenzayo isebenzisa okungagqibekanga okufanayo eli phepha ligqityiwe ngaphambili; iparameter engaziwayo yi 400, ayikho i zero ekhululekileyo. Funda i-API epheleleyo →

Incopho yesiphelo

GET https://calculator.free/api/v1/p-value/

curl

curl "https://calculator.free/api/v1/p-value/?z=1.96&tail=two"

JavaScript fetch()

const r = await fetch(
  "https://calculator.free/api/v1/p-value/?" + new URLSearchParams({
    "z": "1.96",
    "tail": "two"
  }));
const data = await r.json();
console.log(data.results);

Results are estimates for general guidance only, not financial, medical or tax advice.