Final answer:
The correct way to handle averages in experiments with multiple trials is to include both individual trial results and the averages in the data table, as they both play a significant role in data analysis and interpretation.OPTION D.
Step-by-step explanation:
When conducting an experiment that includes multiple trials, the proper way to handle averages is option D: The individual trials and the averages should each have their own columns in the data table. This approach ensures the data's accuracy and transparency, allowing readers to see the variability in the individual trials as well as the calculated mean. Including both individual trials and averages assists in analyzing data comprehensively and supports the validity of the conclusions drawn from the experiment.
It's essential to document each trial's outcome because this provides a complete record of the experimental results. Furthermore, the average, or mean, is a crucial measure of central tendency that offers a summary of the data, helping to understand the overall effect or result. Even though averages are sensitive to outliers, they are still widely used as they provide a useful indication of the typical response or measurement in a set of data.
Following proper data representation, it is typical to round off the final average answer to one more decimal place than was present in the original data. Intermediate results should be kept as precise as possible, and rounding off should be avoided unless necessary. This approach helps in minimizing rounding errors.