What is Cohen's d and how is it used in statistics?
Cohen's d is a measure of effect size that indicates the standardized difference between two means. It's commonly used in hypothesis testing.
Can you explain how to calculate Cohen's d?
Sure! Cohen's d is calculated by taking the difference between the two group means and dividing it by the pooled standard deviation.
What does a Cohen's d value of 0.5 indicate?
A Cohen's d value of 0.5 suggests a medium effect size, meaning there is a moderate difference between the two groups.
Are there any limitations to using Cohen's d?
Yes, Cohen's d does not account for sample size and can be misleading if the sample sizes are very different.
How does Cohen's d compare to other effect size measures?
Cohen's d is one of several effect size measures; others include Pearson's r and eta-squared, each with its own context of use.
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