In scientific research, which step follows data collection?

The step that follows data collection in scientific research is data analysis. After data is collected, scientists need to process and analyze that data to draw meaningful insights. This involves applying statistical methods and software tools to understand patterns, correlations, or significant findings from the data. Through data analysis, researchers can evaluate whether their observations support or refute their initial hypotheses. This step is crucial for interpreting results accurately and helps guide the next steps in the scientific process, such as drawing conclusions or making further experiments.

Other steps, like hypothesis formation, experimentation, and conclusion, happen at different points in the research process. Hypothesis formation occurs before the experimentation phase, and conclusions are drawn after data analysis has taken place. Thus, data analysis logically follows data collection.