Why is replication important in experimental design?
2 Answers
The replication reduces variability in experimental results. Stop of variability increases their significance and the confidence level.
Explanation:
The replication is so important in science. Common choices that can affect the reliability of results by being made after the experiment has started include when to stop the experiment, how to analyse the data, and which subgroup comparisons to carry out.
The replication reduces variability in experimental results. Stop of variability increases their significance and the confidence level. Finally, the researcher can draw conclusions about an experimental.
Scientists must replicate experiments to ensure validity and account for error.
Explanation:
Suppose you tested the effectiveness of your new medicine by giving it to one person and their symptoms cleared up. You wouldn't assume that it was 100% effective on everyone based on that one result.
That's because you know that not everyone will respond the same, that there is variation to be expected. Therefore, you would test the new medicine on many, many people (replicates).
A well-replicated experiment ensures that the effect of one thing (the independent variable) on the other (the dependent variable) is real, true, reliable, valid. It accounts for the variation we expect to exist in nature.
It also accounts for the error we desperately try to control. Suppose you were measuring the elevation in heart rate of a mouse due to the appearance of a cat. You might be off in your measurement by a beat or two, but if you have enough replicates then the average of those replicates will give you a reliable estimate.
