Standard Deviation by definition shows how much variation or "dispersion" there is from the average (mean, or expected value).
https://en.wikipedia.org/wiki/Standard_deviationSpeaking in simplified language a higher SD will mean large range of members (members with individual values farther from the mean) and a low SD will mean closely clustered members (members with individual values very close to the mean).
Now coming to the question:
does set X have a greater standard deviation than set Y?
Statements:
(1) The difference between each pair of the neighboring elements is consistent throughout each set
Does not give relation between set X and Set Y - Insufficient. Though it means that the members are evenly placed in either of the sets, we cannot determine whether they are closely packed or widely distributed.
Eg. X can be {1,3,5,7,9} SD ~ 2.82
Y can be {2,5,8,11,14} SD ~ 4.24
(2) Each of the first two elements in Set Y is twice greater than the corresponding first and second elements
Gives relation only between the first 2 elements between the 2 sets, we cannot determine the other elements or their distribution. -> Insufficient.
A and B together can give us insight into the whole set for both X and Y.
if X is {1,3,5,7,9}
Y has to be 2,6,10,14,18
Hence we can determine if the SD of X is greater than SD of Y which in this case would be 5.65
Hence C