In the worst case, the number of comparisons needed to search a single linked list of length $n$ for a given element is
A & C are not correct as we can not do binary search in Linked list.
B seems like average case, be we are asked for worst case.
Worst case is we do not find the element in list. We might end up searching entire list & comparing with each element. So, answer -> (D). $n$
Binary search algorithm is based on the logic of reducing your input size by half in every step until your search succeeds or input gets exhausted. Important point here is "the step to reduce input size should take constant time". In case of an array, it's always a simple comparison based on array indexes that takes O(1) time.
But in case of Linked list you don't have indexes to access items. To perform any operation on a list item, you first have to reach it by traversing all items before it. So to divide list by half you first have to reach middle of the list then perform a comparison. Getting to middle of list takes O(n/2)[you have to traverse half of the list items] and comparison takes O(1).
Total = O(n/2) + O(1) = O(n/2)
So the input reduction step does not take constant time. It depends on list size. hence violates the essential requirement of Binary search.
thts why d is the answer only in worst case
There are n elements so Log2n is not the case in single linked list because binary search not possible so option A and C is wrong
In worst case there are n comparisons so option D is right
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