Z-балл ҳисоблагич
Оғир қийматни z-баллга айлантиринг ва унинг фоизини топинг.
Натижалар ёзаётганингизда янгиланади.
Ушбу калькулятор ҳақида
you want to compare a test with a normal distribution, you can use the standard-normal cumulative distribution. The standard-normal cumulative distribution is a method of calculating the standard deviations of a test. It is a method that uses the standard-normal cumulative distribution to calculate the standard deviations of a test. The standard-normal cumulative distribution is a method that uses the standard-normal cumulative distribution to calculate the standard deviations of a test. The standard-normal cumulative distribution is a method that uses the standard-normal cumulative distribution to calculate the standard deviations of a test. The standard-normal cumulative distribution is a method that uses the standard-normal cumulative distribution to calculate the standard deviations of a test.The standard-normal cumulative distribution is a method that uses the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a test.Worked example:The standard deviations of a test are calculated using the standard deviations of a
Доимий сўраладиган саволлар
2 дан z-балл нимани англатади?
2 дан юқори z-балл қиймат ўртачадан икки стандарт адашишга тенг дегани. Оддий тақсимлаш остида қийматларнинг 97.7% ундан пастга тушади, шунинг учун бу жуда юқори қиймат.
Z-балл манфий бўлиши мумкинми?
Ҳа. Менфий z-балл қиймат ўртачадан паст дегани. Мисол учун −1.5 қийматдаги z-балл ўртачадан бир ярим стандарт адашган ҳолда пастда.
Z-баллни қандай ҳисоблаш мумкин?
Сизнинг қийматингиздан ўртачани чиқаринг ва стандарт ўзгариш билан бўлинг: z = (x − μ) / σ. X = 85, μ = 70 ва σ = 10 учун z-балл (85 − 70) ÷ 10 = 1.5.
Z-балл фоизга қандай боғлиқ?
Z-балли фоизга стандарт-нормал йиғма тақсимлаш орқали айлантирилади, бу эса ундан пастдаги қийматларнинг нисбатини беради. 0-балли z-балли 50-перцентил, +1-балли 84-перцентил ва -1-балли 16-перцентил.
Нима юқори ёки ғайриоддий z-балл деб ҳисобланади?
Бундай ҳолатда, 2000 йилнинг 1 январидан бошлаб, 1000
Z-баллни қўллаш учун менинг нормал тақсимланишим керакми?
Сиз шаклидан қатъи назар z формуласи билан ҳар қандай қийматни стандартлаштиришингиз мумкин, аммо бу асбоб хабар берадиган фоиз ва оёқ эҳтимоли маълумотлар нормал тақсимланишга мос келишини назарда тутади. Қисқача айтганда, нормал бўлмаган маълумотлар учун бу эҳтимоллар фақат қиймати қийматига яқиндир.
API — коддан бу калькуляторни ишлатиш
Бу ҳисоблагични эркин JSON охири сифатида чақиринг - қулф талаб қилинмайди. Қуйидаги майдон қийматларини савол параметрлари ёки JSON сифатида юборинг. Барча API ҳужжатларини ўқиш →
Охири
GET https://calculator.free/api/v1/z-score/
curl
curl "https://calculator.free/api/v1/z-score/?x=85&mean=70&sd=10"
JavaScript fetch()
const r = await fetch(
"https://calculator.free/api/v1/z-score/?" + new URLSearchParams({
"x": "85",
"mean": "70",
"sd": "10"
}));
const data = await r.json();
console.log(data.results);
Натижалар фақатгина умумий йўл-йўриқ учун ҳисобланган, молиявий, тиббий ёки солиқ маслаҳати эмас.