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A plot of the Qfunction In statistics, the Qfunction is the tail distribution function of the standard normal distribution In other words, Q ( x ) {\displaystyle Q (x)} is the probability that a normal (Gaussian) random variable will obtain a value larger than x {\displaystyle x} standard deviations8x8yA(x;y) j=j8y8xA(x;y) 9x9yA(x;y) j=j9y9xA(x;y) Q 1xA(x) ^Q 2yB(y) j=jQ 1xQ 2y(A(x) ^B(y)) Q 1xA(x) _Q 2yB(y) j=jQ 1xQ 2y(A(x) _B(y)) Where Q 1;Q 2 2f8;9g For example, if Q 1 = 8and Q 2 = 9, we have 8xA(x) ^9yB(y) j=j8x9y(A(x) ^B(y) 8A b c d e f g h i >JK Ug Math 程式g87 x_ y_ z_ r_ q_ f_ 用於
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