Question: A sample of n=16 individuals is selected from a normal population with a mean of \(\mu =48\) and a standard deviation of \(\sigma =12\). After receiving a treatment, the sample mean is found to be M = 52.

1. Compute Cohen’s d to evaluate the size of the treatment effect.
2. If the sample size were n = 36, what would be obtained for Cohen’s d? How does the sample size influence the size of the effect?
3. If the population standard deviation were \(\sigma =24\), whet value would be obtained for Cohen’s d? How does the standard deviation influence the size of the effect?
   (c) If the sample mean were M = 56, whet value would be obtained for Cohen’s d? How does the size of the mean difference influence the size of the effect?
   
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