If we have sample mean of $n$ observations as $\bar{x}$. It is given that maximum value of the whole set is $M$. How many more observations we need so that the estimate for average we have differs from the true average by not more than 10 with 99% confidence?

If we have sample mean of $n$ observations as $\bar{x}$. It is given that maximum value of the whole set is $M$ and minimum value is $0$. How many more observations we need so that the estimate for average we have differs from the true average by not more than 10 with 99% confidence?

If we have sample mean of p observations as R. It is given that maximum value of the whole set is M. How many more observations we need so that the estimate for average we have differs from the true average by not more than 10 with 99% confidence?

If we have sample mean of $n$ observations as $\bar{x}$. It is given that maximum value of the whole set is $M$. How many more observations we need so that the estimate for average we have differs from the true average by not more than 10 with 99% confidence?