A sample is selected from a population with μ = 46,and a treatment is administered to the sample.After treatment,the sample mean is M = 48 with a sample variance of s² = 16.Based on this information,what is the value of Cohen's d? A)d = 0.125 B)d = 0.25 C)d = 0.50 D)Cohen's d cannot be computed without knowing the sample size.

Question

Quizplus · Accepted Answer

Cohen's d is a measure of effect size that reflects the standardized difference between two means. It is calculated by dividing the difference between the two means by the pooled standard deviation. 
d = (M - μ) / s
Where M is the sample mean, μ is the population mean, and s is the standard deviation. 
Since the sample variance is given, we need to take the square root to find the standard deviation:
s = sqrt(s^2) = 4
Using the formula for Cohen's d, we get:
d = (48 - 46) / 4 = 0.50
Therefore, the answer is C.

A Sample Is Selected from a Population with μ =