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
Answer:
The answer is the first choice, that the outcomes (getting a 2, 4, or 6 or getting a 1, 3, or 5) are equally likely because the frequencies are close.
Step-by-step explanation:
The second choice isn't true because there isn't a lot of variation. If there was, this would mean they aren't equally likely.
The third choice isn't true because it doesn't make a statement about why the odd/even identity of the sets should affect the likelihood. (Besides, we know they are equally likely.)
The fourth choice isn't true because there is not a lot of difference in the relative frequency.
please give me brainliest
The answer is 5 x 10^10
Hope this helped! :)
Convert both fractions to get a LCD, then subtract
Answer is 3. 1/24
