Which of the following is true of standardized effect sizes? Standardized effect-sizes are not useful in statistical calculations (e.g., power). Standardized effect-sizes are reported in the same units as the original measures. Standardized effect-sizes are very generalizable, allowing results to be pooled across studies.

What are the coefficients in the expression $6p^2+4p$?

The mode of a binomial $B(n,p)$ distribution is equal to $k=\lfloor (n+1)p\rfloor$. I am wondering how to estimate the probability at this value, i.e. $(\genfrac{}{}{0ex}{}{n}{k})p^k(1-p{)}^{n-k}$, like what's the order of this value in terms of $n$. Is it exp($-\mathrm{\Omega }(n)$)?

I was given a question where I was supposed to find the probability of obtaining y between two scores, however when I input my answer it tells me that I'm wrong, the question is given below along with my answer to the question:

Question
For a normal distribution with sample mean =−19 and standard deviation =6.85 find $p(-16.15\le y\le -15.27)$, where y is a random draw from the normal distribution. Round to 4 decimal places.

My answer
I obtained the z scores for both the y values −15.27 and −16.15 and their respective z scores are 0.5445 and 0.4161. The probability under the curve with a z score of 0.5445 is 0.7054 and the probability under the curve with a z score of 0.4161 is 0.6628. With those two probabilities, I obtained the difference (getting 0.0426) and I put in that answer and was told that I was wrong. Can someone give me insight as to what I'm doing wrong?

For z score, you are taking the sample value subtracting population mean and dividing it by std deviation. Is that correct so far?
Now, the "sample value" is defined by an equation. In my scenario, I have a bunch of stores that are reviewed by their customers. The customer amount varies. One store has 2 customers who give review while other store has 19 people who give reviews. For the 1st store in my example, both customers give 5/5. while the 2nd store customers, avg score given by all 19 customers is 4.
Sample value is calculated as score/customer count. So for the 1st store, it will be 5/2 while the other store will be 4/19. If I use that in z score eq. it will mean that first store is doing much better than the last store. I would like to know how to make the score "proportional""normalized""fair" etc...
Oh my many gods, I can't believe I ended like that. Thanks for pointing that out.

What is the z-score of sample X, if $n=36,\mu =38,\text{St.Dev}=66,{\mu }_X=14$?

What causes the pulsation of a cepheid-type variable star?

Can anyone explain when should I add 0.5 to the z-score?