I-P-value calculator (from Z)
Guqula i-z-score ibe yi-p-value eyisi-1 noma eyisi-2.
Iziphetho zivuselelwa uma ubhala.
Malunga nale khadi
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 under the null hypothesis.Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.96Choose aWorked example: a z-score of 1.
Imibuzo ebuzwa kaningi
Yini i-p-value?
I-p-value yisimo esikhona, uma kubhekwa ukuthi i-null hypothesis iyiqiniso, yokuthola ukuhlolwa kwe-statistics okuncane kakhulu njengokungathi kuboniswe. I-p-value encane isho ukuthi idatha yakho ayikwazi ukutholakala ngaphansi kwe-null hypothesis, okuwubufakazi obuphikisana nayo.
Uyini umehluko phakathi kwe-p-value emibili-imilenze ne-p-value eyodwa-imilenze?
Ukuhlolwa okunezinhlangothi ezimbili kubala izimpendulo eziphezulu ezisuka ezinyangeni zombili, ngakho-ke i-p-value yayo iphindaphindwa i-value eyisithupha ye-z. Sebenzisa okunezinhlangothi ezimbili uma ukhathazekile nje ukuthi kukhona ushintsho, futhi okunezinhlangothi ezimbili uma ulindele indlela ngaphambili.
Ingabe p < 0.05 ihlala ibalulekile?
0.05 kuyisimo esijwayelekile kuphela, hhayi umthetho. Kusho ukuthi 5% ingozi yokubona okulungile okungalungile. Kuxhomekeka ezindaweni nezindleko zokungalungile, amaphesenti aqinile njenge 0.01 avame ukuhambisana.
Ngiyiguqula kanjani i-z-score ibe yi-p-value?
Thola indawo yekhanda lesimo esijwayelekile-sokuhlukaniswa okujwayelekile ngaphandle kwez-score yakho. Lezi zithuluzi zikwenza lokhu kuwe: ikhanda lasekhohlo yi-P(Z ≤ z), ikhanda lasekunene yi-1 − P(Z ≤ z), futhi i-p-value emibili iphinda incane yalezi ezimbili.
Ingabe i-p-value enkulu ikhombisa ukuthi i-null hypothesis iyiqiniso?
Akukho. I-p-value enkulu ikhombisa kuphela ukuthi idatha yakho ihambisana ne-null hypothesis, hhayi ukuthi i-null iqinisekisiwe. Ukungakholeki kweqiniso ngaleyo qiniso akuyona bufakazi bayo; ungase ugcine ubukhulu besampula ukuhlola imiphumela.
Ngabe kufanele ngisebenzise i-z-based p-value endaweni ye-t-based one?
Sebenzisa ixabiso elisekelwe ku-z uma inani lomphakathi liziwa noma uma isibonisi sikhulu (n ≥ 30). Kuzo zonke izibonisi ezincane ezinesibonisi esilinganiselwe, u-t-distribution unikeza ixabiso le-p elifanele.
Yini ushintsho phakathi kwe-p-value nezinga lokusho?
Izinga lokuqonda α liyi-threshold oyenza ngaphambili, njenge-0.05. I-p-value ibalwa kusuka kudatha yakho. Uyeka i-null hypothesis uma i-p-value ingaphansi kwe-α.
API — sebenzisa le calculator kusuka kukhodi
Nquma le kalkuli njengendawo ephelezelwa i-JSON - akukho isitshixo esidingekayo. Thumela amaxabiso endawo ngezansi njengepharamitha yombuzo noma i-JSON. Funda i-API egcwele →
Ingxenye yendawo
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);Izibalo ziyisilinganiso esisetshenziswa ukuqondisa kuphela, hhayi ukucebisa ngezimali, ukwelashwa noma ukukhokha.