please answer both parts

1.

part A.

Which statement below is NOT correct about bootstrap resampling?

It determined how often each clade (or cluster) in the original tree occurs in the trees obtained from resampled multiple alignments according to a majority rule.

It operates by randomly selecting data points from the original data set with replacement to create resampled data sets and repeating this process multiple times.

Bootstrapping provides evidence to define the root of the tree.

Bootstrap values are reported at the end to provide confidence intervals for the tree branches.

Question at position 2

part B

What key modification is performed in the Neighbor-Joining method to solve the ultrametricity rule violation?

It corrects low confidence branch points in a tree with post-processing methods such as bootstrap analysis.

It uses rate corrected distances values in the distance matrix.

It generates phylogram or cladogram tree styles after rooting.

Please send me answer in typed form strictly prohibited handwritten solution.