Notice that the input value for the inverse normal function is a probability (an area under the bell curve) and the output value is a value of \(x\). Typical Question: Adult male population's height (in cm) can be modelled by a continuous random variable \(X\) that follows a normal distribution with mean \(\mu = 175\) and standard deviation \(\sigma = 7\) \(X \sim N \begin \quad invNorm(p)\] Inverse Normal Distribution a.k.a Inverse Guassian Function
