In hypothesis testing, what occurs after data analysis?

After data analysis in hypothesis testing, making final conclusions is a crucial step. This phase involves interpreting the results obtained from the statistical tests applied to the data. Based on the analysis, researchers assess whether the evidence supports or refutes the original hypothesis. Final conclusions help in understanding the implications of the study, determining the statistical significance of the results, and deciding how they fit within the broader context of the existing literature.

While other options suggest important actions that could follow data analysis in various research contexts, they do not represent the immediate next step in the hypothesis testing process. Formulating a new hypothesis might happen after reflecting on the results, but this is not a direct consequence of data analysis. Conducting additional experiments may occur later to explore new questions or verify findings, and reporting findings to peers is a subsequent phase aimed at disseminating knowledge, but these come after conclusions have been reached based on the analyzed data.