In probability theory and statistics, the Q function is the tail probability of the standard normal distribution, also known as the complementary cumulative distribution function (CCDF) of the standard normal distribution. The Q function is defined as:
where x is a real number.
where Z is a standard normal variable.
The Q function can be calculated using numerical integration or special functions, such as the complementary error function or the Marcum Q-function.
The Q function is helpful in various applications, such as digital communications and signal processing, where it calculates error probabilities and signal-to-noise ratios. It is also used in statistics to calculate confidence intervals and hypothesis tests for normal distributions.