Statistical insignificance occurs when the results of a study do not show a statistically significant effect. This typically means that the p-value is greater than the conventional threshold of 0.05, indicating that the observed results could be due to random variation rather than a true effect. However, it is important to note that statistical insignificance does not necessarily mean there is no effect or association; it may simply indicate a lack of evidence to support a definitive conclusion.
