What are the lowest and highest nodes in a binary search tree if it has n nodes? Give a mathematical explanation for your solution.

In a binary search tree, to remove a node N that has parent P and one child C, we do the following:   Group of answer choices If C is the right child of N, we make C the right child of P, and if C is the left child of N, we make C the left child of P   If C is the right child of N, we make C the left child of P, and if C is the left child of N, we make C the right child of P   If N is the left child of P, we make C the left child of P and if N is the right child of P, we make C the right child of P   If N is the left child of P, we make C the right child of P and if N is the right child of P, we make C the left child of P   none of the above

How many children is each node allowed to have in a binary search tree?  Answer all that apply.  I know one of the answers is 2 but there is at least another one.     3     1     0     2

In this problem, we need to create a method capable of calculating the distance  between the deepest node on the left to the deepest node on the right. However my code is struggling to even output my binary search tree, and I am not sure how to code the method. Can someone please explain how I could code this?/////////////////////////////////////////////////////////////////////////// // // Pro3105 // //      Write a program that creates a binary search tree of 15 to 30 //      random Capital Letters. // //      Define the tree width operation by writing the method that will //      calculate the distance from the deepest node of the left subtree //      to the deepest node of the right subtree. // //                           K //                  ......../ \.......................... //                 /                                     \ //                H                                       U //            .../ \.....                         ......./ \... //           /…

How would you reverse the order of nodes in a singly linked list? Provide an algorithm and discuss its time complexity.