What are some common mistakes in experimental design?
Some common mistakes include lack of control groups, insufficient sample size, and not randomizing participants.
Can you explain why a control group is important?
A control group helps to isolate the effect of the independent variable by providing a baseline for comparison.
What happens if the sample size is too small?
A small sample size can lead to unreliable results and increase the risk of Type I and Type II errors.
How can I avoid these mistakes in my experiments?
You can avoid these mistakes by carefully planning your study, using randomization, and conducting a power analysis to determine the appropriate sample size.
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