Key Assumptions Check

Key Assumptions Check involves verifying that the foundational assumptions behind a statistical analysis or model are valid. These assumptions—such as normal distribution of data, independence of observations, and constant variance—must be met for the results to be reliable. By checking these assumptions, analysts ensure the analysis isn't misleading or invalid due to violations. This step helps confirm that the methods used are appropriate for the data, increasing confidence in the conclusions drawn. Essentially, it’s about making sure the underlying conditions for accurate analysis are present before trusting the outcomes.