Nonparametric tests are also called distribution-free tests because they don't assume that your data follow a specific distribution. You may have heard that you should use nonparametric tests when your data don't meet the assumptions of the parametric test, especially the assumption about normally distributed data.
A. $25
The explanation would be because 365-105=206 and then double 105 which would be 210 and then subtract that from 206 which would be 50 then divide that by 2 and you would get 25
It's a number that can evenly be divided by numbers other than 1 or itself.
Example: 8. You can multiply the factors 2 and 4 and get 8 other than multiplying 8 and 1.
28×32 = 896 you just multiply them together
