**NORM.DIST($x,\mu,\sigma,FALSE$)**The height of the normal density function for a normal distribution with mean $\mu$ and standard deviation of $\sigma$

**NORM.DIST($x,\mu,\sigma,TRUE$)**The probability that a random variable that follows a normal distribution with mean $\mu$ and standard deviation $\sigma$ will produce a value less than or equal to $x$

**NORM.INV($p,\mu,\sigma$)**Returns $x$ so that the probability of a random variable, following a normal distribution with a mean $\mu$ and standard deviation $\sigma$, producing a value less than $x$ is $p$. Equivalently, returns $x$ so that there is area $p$ under the related normal curve and left of $x$