Assumption checking

Assumption checking involves verifying that the conditions required for a statistical analysis are met before interpreting the results. This process ensures that the methods used are appropriate and that the conclusions drawn are reliable. For example, many analyses assume data are normally distributed or that different groups have similar variances. By checking these assumptions—using visual tools or statistical tests—we can identify potential issues that might bias or invalidate the results. Essentially, assumption checking is about ensuring the foundation of your analysis is solid, so the findings are accurate and trustworthy.