Question

When you are doing an experiment that will have multiple trials, how do you handle averages?

A. Do not put each individual trial in the data table, average them and just put the average in the table.
B. The individual trials and the averages should each have their own columns in the data table.
C. Averages do not need to go in the data table, the reader can calculate it if they need to know it.
D. Averages should never be used, they will cause rounding errors in the data.

Answer 1

The answer is B. The individual trials and the averages should each have their own columns in the data table.

In an experiment, you want to be able to see all of the data, so you should always include the data from each individual trial; however, it's important to have a separate column for averages, so you are able to compare all of the data.

Hope this helps! :)

Answer 2

B. The individual trials and the averages should each have their own columns in the data table.

Step-by-step explanation:

It is important to show all data clearly when conducting an experiment. So it is essential to have separate columns for individual data and another column for the averages of different data in different individual trials. This allows readers to compare the data obtained in individual trials with the calculated averages. This also provides a lucid way to observe the deviations made, if any.