"Sample size can affect whether statistically significant differences are found, but sometimes, in extremely large samples, differences are found that are significant but of no real value or interest. What standardized value helps measure the size of the difference in relation to the variability of the data, removing the impact of sample size?"

Effect size

Step-by-step explanation:

Effect size is a simple way of quantifying the difference between two groups that has many advantages over the use of tests of statistical significance alone. Effect size emphasises the size of the difference rather than confounding this with sample size.

we can calculate effect size as

d=\frac{\bar{x}-\mu}{\sigma}

it can measure the effect but here is no need of sample size hence the answer is effect size.

step-by-step explanation:

5×5×5+2(8)÷2(2)+3(3)

15+16÷4+9

31÷13

do 31÷13 and u will get ur answer

the simplified form is

step-by-step explanation:

we want to simplify the expression,

let us change the middle bar to a normal division sign to obtain,

we multiply the first fraction by the reciprocal of the second fraction to obtain,

we factor to obtain,

we cancel the common factors to get,

we simplify to get,

the correct answer is b