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Canja z-score zuwa wani daya ko biyu-sashe p-kimar.
Results update as you type.
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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 — exactly the classic 5% cutoff.Choose a left-tailed, right-tailed or two-
Tambayoyi da ake yi da yawa
What is a p-value?
The p-value is the probability, assuming the null hypothesis is true, of getting a test statistic at least as extreme as the one observed. A small p-value means your data would be unlikely under the null hypothesis, which is evidence against it.
Ta yaya wani biyu-da-da'irar p-kimar bambanta daga daya-da-da'irar?
A two-tailed test counts extreme results in both directions, so its p-value is double the one-tailed value for the same |z|. Use two-tailed when you only care that there is a difference, and one-tailed when you predicted the direction in advance.
Shin p < 0. 05 yana da muhimmanci?
0.05 is only a common convention, not a law. It means a 5% chance of a false positive. Depending on the field and the cost of being wrong, stricter thresholds like 0.01 are often more appropriate.
Ta yaya zan canza z-score zuwa p-value?
Look up the tail area of the standard-normal distribution beyond your z-score. This tool does it for you: the left tail is P(Z ≤ z), the right tail is 1 − P(Z ≤ z), and the two-tailed p-value doubles the smaller of the two.
Shin wani girma p-kimar ya tabbatar da cewa zaton ba daidai ba ne?
No. A large p-value only means your data is consistent with the null hypothesis, not that the null is proven. Absence of evidence against it is not evidence for it; you may simply lack the sample size to detect an effect.
Yaushe zan iya amfani da z-da-daidaitacce p-kimar a matsayin t-daidaitacce daya?
Use the z-based value when the population standard deviation is known or the sample is large (roughly n ≥ 30). For small samples with an estimated standard deviation, a t-distribution gives a more accurate p-value.
Me ya sa aka yi bambanci tsakanin darajar p da ma'aunin muhimmanci?
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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[Translation temporarily unavailable. Please try again.] Anything you omit uses the same default this page is pre-filled with; an unknown parameter is a 400, never a silent zero. [Translation temporarily unavailable. Please try again.] →
Endpoint
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.