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, the size of the treatment effect, as measured by cohen’s d, is

0.125

Step-by-step explanation:

Cohen's d is used to measure the effect size. Larger the value of Cohen's d, larger the effect between two observations.

It is determined by the formula,

where M₂ is Mean of 1st group

M₁ is the Mean of the 2nd group.

Here, M₁ = 46, M₂ = 48 and Standard deviation = 16

∴

⇒ d = 0.125

i'm sorry mate, but i am not seeing any figures. i am unable to solve this for you.