The term "confidence level" refers to the degree of certainty that a statistical result is accurate. It is often expressed as a percentage, indicating how likely it is that the true value falls within a specified range. For example, a confidence level of 95% suggests that if the same study were repeated multiple times, 95 out of 100 times, the results would fall within the predicted range. In research and data analysis, a higher confidence level means greater assurance in the findings. However, it is important to balance confidence with the size of the sample and the variability of the data, as these factors can influence the reliability of the results.