If the mean difference gets larger and sample standard deviation stays the same, what happens to effect size?

The effect size of the sample gets larger

Step-by-step explanation:

The effect size of the sample gets larger when the mean difference gets larger and the sample standard deviation stays the same. because the Cohen's effect size is proportional to mean difference  and this can be proven below using the Cohen's formula

Cohen's effect size  = Mean difference / standard deviation

form the question standard deviation is constant while the mean difference gets larger, hence the effect size will get larger as well

the cat is blue because the probability of extension towards the prefix of the diameter of the circle could only mathematically equal to the sum of the roots of the carrots from   your garden.

step-by-step explanation: