🔔 ម៉ាស៊ីន​គិតលេខ​ការ​ចែកចាយ​ធម្មតា

អំពី​ម៉ាស៊ីន​គិតលេខ​នេះ

the standard-normal distribution, the probability density at x is equal to the cumulative probability P(X ≤ x) (the area under the curve to the left). The right-tail probability P(X ≥ x) is equal to the cumulative probability P(X ≤ x) (the area under the curve to the left). The cumulative probability P(X ≤ x) is equal to the right-tail probability P(X ≥ x) (the area under the curve to the left). The cumulative probability P(X ≤ x) is equal to the right-tail probability P(X ≥ x) (the area under the curve to the left). The standard-normal distribution is the standard symmetric bell curve that describes heights, measurement errors, test scores and countless other natural quantities.InternallyWorked example: foradistribution with μ = 100 and σ = 15, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Internally it converts x toaz-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Internally it converts x toaz-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Internally it converts x toaz-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Internally it converts x toaz-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Internally it converts x toaz-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error-function approximation. Internally it converts x toaz-score, z = (x − μ) / σ, then evaluates the standard-normal cumulative distribution with an accurate error