"Statistically invalid" typically refers to data that cannot be considered reliable due to flaws in the sampling or analysis process. Synonyms for this term include "unsound," "flawed," "erroneous," "inaccurate," and "unsupported." Other related terms may include "biased," "unrepresentative," and "non-generalizable." It is important to recognize when data is statistically invalid in order to avoid drawing incorrect conclusions or making decisions based on unreliable information. In order to ensure that data is valid and reliable, it is important to use appropriate sampling methods, conduct rigorous analysis, and properly interpret the results.