What type of data do experiments require?

Experiments typically require measured data because this type of data is collected through direct observation and quantification of variables during an experiment. Measured data provides numerical values that can be statistically analyzed, enabling researchers to draw conclusions about the relationships and effects observed in the experiment.

In an experimental context, researchers often manipulate certain variables and then measure the outcomes to understand cause-and-effect relationships. This empirical approach is fundamental in the scientific method, as it allows for reproducibility and verification of results.

While observational data can provide insights, it lacks the controlled conditions of experimental data collection. Qualitative data, on the other hand, focuses on descriptions and characteristics that cannot be quantified numerically. Derived data consists of values that are calculated or inferred from measured data, rather than collected directly. Thus, the focus on measured data in experiments ensures precision and clarity in the results obtained.