You can use the RAND () function to establish probability and create a random variable with normal distribution.

Random Variable: A measurable function that maps outcomes in a probability space to real numbers, thereby enabling quantitative analysis of random events.

Probability, statistics, reliability and decision with applications in engineering. Probability of events, discrete and continuous random variables, probability density functions and distributions, ...

Luc Devroye, Gábor Lugosi, Local Tail Bounds for Functions of Independent Random Variables, The Annals of Probability, Vol. 36, No. 1 (Jan., 2008), pp. 143-159 ...

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Build foundational knowledge of data science with this introduction ...

Albert Madansky, Bounds on the Expectation of a Convex Function of a Multivariate Random Variable, The Annals of Mathematical Statistics, Vol. 30, No. 3 (Sep., 1959), pp. 743-746 ...

Sample space and events, probability measure and probability space, random variable as a measurable function, distribution function of a random variable, discrete and continuous-type random ...