August 6th, 2019
Data itself has little value if no analysis is done on it. So here are some tips on how to perform data analysis using hypothesis testing.
Before carrying out data analysis, one has to define the problem to be solved. To do so, one should identify the focus of the problem, the aim of solving the problem, look for available information and break down the problem into smaller ones.
After defining the problem, one can collect relevant data and perform data analysis using hypothesis testing. Let’s say you are predicting the release date of a new phone model. Applying hypothesis testing, one will first set out various possibilities (i.e. the hypotheses) of the release dates. With reference to each piece of useful data collected, one can then test whether the data support each hypothesis. Finally, an overall conclusion of the most likely release date can be drawn. Please see the attached picture for a tabular illustration of this example.