- [[Performance Testing]] [[Load Testing]] [[Data science]] #[[Load testing is a data science]] [[Statistics]] - Date Created: [[2020-09-26]] - The [Poisson distribution]([[Poisson Probability Distribution]]) is a probability distribution that describes how likely it is for a certain event to happen __k__ times given that it happened $\lambda$ (__lambda__) times within an interval. - Within load testing, it can be used to describe the distribution curve of the following in production (the target population) given a sample: - user concurrency - the throughput of a certain transaction - the error count/rate for a transaction - the occurence of response times beyond a certain range - "" - "para calcular concurrencia de usuarios" - "Ejemplo: Lidl" - "" - "Cuando la lamda es muy grande, la distribución Poisson es una distribución normal"