Anybody with a background in stats and number crunching....or anyone for that matter please chime in...
Predicate:I want to calculate a Kill/Death ratio average across X blocks of data. Each block of data will produce its own unique value for K, and for D
In certain (but infrequent) circumstances, D may equal Zero. K can also equal Zero, but is irrelevant mathematically as well as practically.
Output Desired:I want to output a true K/D value for use in averaging across X blocks.
Problem:Division by Zero. If a block in X blocks returns D = 0, K/D will naturally fail.
Typical Solution:Add 1 to D
Resultant Issue:Adding 1 to D as a default assumption produces wildly inaccurate K/D ratios
when dealing with narrow data sets, and is exacerbated when running further functions such as averaging.
Example: 15 K, 2 D will yield either 7.5 or 5.0; a 50% swing - totally unacceptable rate of return
Question/Proposed Solution:Is their anything fundamentally wrong with Setting the value of K/D to K when D = 0?, and leaving all other K/D quotients at stock (K/D) ?

Oneway
Edit: Whoops, just realized this should have been posted in the General Forum...not this Forum...my apologies (Skuzzy...clean up on Aisle 5)...