Application of descriptive statistics: analysis of rainfall in the municipality of Canavieiras-BA
DOI:
https://doi.org/10.22478/ufpb.1981-1268.2020v14n3.51721Abstract
Descriptive statistics is the branch of statistics that aims to summarize and describe any data set. In other words, it is concerned with synthesizing the data. The present research has as its object of study the analysis of the monthly and interannual rainfall variability in the city of Canavieiras, located in the south coast of the State of Bahia, from historical series (2005 to 2018) associated with the descriptive statistics techniques, with the BioEstat Free Software Version 5.3. The rainfall data were extracted from the Hydro Web Portal, part of the National Water Resources Information System (SNIRH), of which the National Water Agency (ANA) is responsible for coordinating. Rainfall is an important factor in defining a municipality’s climate. Moreover, its study is important due to its influence on environmental and socioeconomic conditions. Through the results, a great variability of the precipitation was found regarding the deviation in relation to the average, with the rainy season concentrated in the months of March to July and in November. Moreover, it was possible to prove that April stood out by having the highest variability, with the highest standard deviation and second highest variation coefficient.