Answer:
Cohen's D
Step-by-step explanation:
Cohen's D is a statistic that measures effect size. It shows standardised difference between 2 means.
Effect size is defined as how large the effect of a something is or its magnitude.
Cohen's D works effectively when the sample is >50 (that is for large samples). However a correction factor can be used to make results from small samples more accurate
The formular for Cohen's D is:
D = (mean1 - mean2) ÷ (√({standard deviation1}^2 + {standard deviation 2}^2)/2)
This is the most appropriate method in the given scenario
The domain is y >=0. Domain is the possible x values
This is an improper. Perhaps you can fix it, so that I can assist you with it? I apologise.
Segment A is a linear constant. In general a linear constant will be y=k for a horizontal line or x=k for a vertical line.
Answer:
it would be nice if I could see it