So, when we compute t-test with given 𝑦̅=1,718.3 And 𝑠=137.8, there would be a p-value and when we do it with bootstrap there is another value, the first one is based on enough samples while the second one is based on more samples with bootstrap? is that right?

Like this there would be so much difference between p-value and CI obtained by t-test and the ones obtained by bootstrap is it acceptable?

It's in chapter 4, page 18, but it's the bias formula, the unbiased is the one i mentioned before

Pattern classification, Duda