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The study utilizes data corresponding to the average monthly concentration ofparticulate matter 2.5 (P.M. 2.5), relative humidity, and precipitation duringthe period 2016-2018 collected by the High Vol station of the Energy andAtmosphere Center, and the meteorological center SENAHMI (Kayra-UNSAAC). Inorder to estimate the statistical relationship between two quantitativevariables, the Pearson and Spearman correlation coefficients are used, whichwere obtained using the Python programming language. The obtained t-value iscompared with the Student's t-distribution table for a certain level ofsignificance $(\alpha = 0.05)$. Positive and negative correlation values areestablished based on the obtained coefficients, and the interpretation of thePearson and Spearman correlation values is used to determine if the data isrelated or not.

Correlacion de material particulado pm 2.5 en funcion a la humedad relativa -- precipitacion usando python, en la ciudad del cusco