I-P-Ixabiso leKhalenda (esuka ku-Z)
Gcina i z- inqaku kwi p- ixabiso elincinane okanye eliphindwe kabini.
Iinketho ze projekti
Malunga nale Calculator
small p-value means that your data would be surprising under the null hypothesis, which counts as evidence against it. A large p-value means that your data would be surprising under the null hypothesis, which counts as evidence against it. A large p-value means that your data would be surprising under the null hypothesis, which counts as evidence against it. A large p-value means that your data would be surprising under the null hypothesis, which counts as evidence against it. A large p-value means that your data would be surprising
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 elinomtsalane omnye kwi |z|. Sebenzisa olunomhlathi omnye xa ukhathalela kuphela ukuba kukho utshintsho, kunye nomhlathi omnye xa ulindele umtsalane phambi kokuqala.
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). Kwizikhokelo ezincinci ezinesiqulatho esisezantsi esiqikelelwayo, unikezelo lwe t lunika ixabiso elifanelekileyo le p.
Yintoni utshintsho phakathi kwexabiso le-p kunye nomgangatho obalulekileyo?
Umphakamo obalulekileyo α ngumda omiselwe ngaphambili, njengo 0. 05. Ixabiso le-p libalolwe kwidata yakho. Uyeka i-null hypothesis xa ixabiso le-p liwela ngaphantsi kwe-α.
API — sebenzisa le calculator ukusuka kwikhowudi
Nceda le kalkulator njengendawo esemva ye-JSON ekhululekileyo - akukho qhosha lifunekayo. Thumela amaxabiso endawo engezantsi njengeparameter yombuzo okanye i-JSON. 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);IiNtlanganiso zeNtlanganiso yeNtlanganiso