P-Value Calculator (site na Z)
Kpọgharịa z-score ka ọbụla p-value.
Nhọrọ ndị ahụ ga-akpụzi mgbe ị na-etipụta.
N'ihe banyere calculator a
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, which counts as evidence against it. Choose a 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. Choose a Worked example: a z-score of 1.96Choose a Worked example: a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z-score of 1.96Choose a z
Ajụjụ ndị a na-ajụkarị
Gịnị bụ p-value?
Valiu p bụ ihe n'eme, na-atụle na null hypothesis bụ eziokwu, nke ịna-enweta nyocha stats na ọbụla ka n'obere dịka nke ahụ a na-ahụ. Valiu p obere pụtara na data gị ga-adị n'okpuru null hypothesis, nke bụ ihe n'eme n'ebe ahụ.
Olee otú p-value abụọ-n'akụkụ dị iche n'otu-n'akụkụ?
Nnyocha abụọ-ébètàị̀l̀ na-ébétáị̀l̀ na-ébétáị̀l̀ n'ime ụzọ abụọ, yabụ na p-value ya bụ nke abụọ na-ébètáị̀l̀ maka |z|. Jiri abụọ-ébètàị̀l̀ mgbe ị na-eche na é nwere ngbanwe, nakwa otu-ébètáị̀l̀ mgbe ị na-atụ anya ụzọ n'ihu.
Ọ bụ p < 0.05 mgbe niile dị mkpa?
0.05 bụ naanị a common convention, ọ bụghị a iwu. Ọ pụtara a 5% ohere nke a ụgha-ọnụ. N'ihi na na field na ọnụ ahịa nke na-adịghị n'ụzọ ziri ezi, tighter thresholds dị ka 0.01 bụ mgbe ụfọdụ kasị kwesịrị ekwesị.
Olee otú m ga-esi gbanwee z-score ka p-value?
Nlegharịa n'elu mpaghara ebe nke standard-normal distribution n'ebe z-score gị. Tool a na-eme ya maka gị: left tail bụ P(Z ≤ z), right tail bụ 1 − P(Z ≤ z), na p-value abụọ-tailed na-ebido nke obere nke abụọ ahụ.
Ọ bụrụ na ọ bụ nnukwu p-value na-egosi na null hypothesis bụ eziokwu?
Ọ dịghị. A p-value dị ukwuu pụtara naanị na data gị dị n'otu na null hypothesis, ọ bụghị na null bụ ihe e gosipụtara. Ọ dịghị ihe egosi na-egbochi ya bụ ihe egosi maka ya; ị nwere ike ịna-enweghị nha saịlọn iji chọpụta mmetụta.
Kedụ mgbe m ga-eji z-based p-value na-enweghị t-based?
Jiri z-based valiu mgbe a matara ụkpụrụ ndesịta dìfọ́ọ̀ltụ̀ nke obodo mọọbụ n'ihi na nlele ahụ bụ nnukwu (n'ụdị n ≥ 30). Maka nlele ndị nta na ụkpụrụ ndesịta dìfọ́ọ̀ltụ̀ a na-atụ anya, t-distribution na-enye uru p dị n'ụzọ ziri ezi.
Gịnị bụ ọdịiche dị n'etiti p-value na elu nke mkpali?
Nhazi a na-eme ka ọ bụrụ na ọ bụ n'okpuru n'
API — jiri kaadị a site na kóòdù
Kpọọ kalkulata a dịka ebe ngwụcha JSON n'efu - enweghị kii achọrọ. Ziga valiu mpaghara ebe ahụ n'okpuru dịka paramita ajụjụ mọọbụ JSON. Gụọ ngwe ndị ahụ niile →
Ebemkpofuozi
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);Ihe a na-ahụta bụ n'ihi nlekọta n'ozuzu ya, ọ bụghị nlekọta ego, ọgwụ ma ọ bụ nlekọta ego.