In: Statistics and Probability
When working with data, it is necessary to know what is our hypothesis or aim of study. If we know what we want to show or explore by using the data, then things will be easier for analysis of the data. We can analyse available data in various ways. There are several statistical techniques available for the analysis of collected data. First of all, we need to find the type of data and proper methods for statistical analysis. If data is nominal, then there would be some limitations during data analysis. If the data is numerical (discrete or continuous), then we can use statistical analysis tools for checking the established claim regarding the given data. If we are concerning a hypothesis test, then use step by step approach for rejecting or accepting the claim by using given data. For the given data, we can also find out descriptive statistics and some simple diagrams like histogram, box plots, etc. for getting primary judgement or idea regarding given data.