What is often required alongside verification in scientific research?

Statistical analysis plays a crucial role in scientific research alongside verification. When scientists conduct experiments or studies, they collect quantitative data that often need rigorous analysis to determine if the findings are statistically significant. Verification confirms that the results can be reproduced and are reliable, while statistical analysis helps interpret data, assess variability, and draw conclusions about the validity and applicability of the results.

Using statistical methods allows researchers to evaluate the strength and relevance of the evidence they have gathered. It enables them to determine the likelihood that observed effects are genuine rather than due to random chance. This is especially important in experiments where sample sizes or conditions might lead to variation in results. By conducting proper statistical analysis, researchers can confidently report their findings, making it easier for the scientific community to accept, challenge, and build upon their work.