“Facts are stubborn things, but statistics are pliable” ~ Mark Twain As the name goes, the analysis of statistics or the process of analyzing data is to discern patterns employed while conducting statistical modelling, developing surveys, and gathering research interpretations. This method is usually adopted by Business intelligence research or academic research studies that have to deal with enormous data sets. Why do we need statistical analysis in research? Put formally, any research is incomplete without Statistics. The openness and accessibility of statistical data have altered across businesses and education due to the expansion of open-data programmes, in which researchers or organizations work together to share data in a public setting to develop new service models. The raw data of the study project is worthless without statistical analysis. As a result, the study must include statistics to back up its outcomes. It is meant to provide ...
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