If you know that you gain 1.7 cents/second and use the drill for 2000 seconds can't you figure out the total gain?
The problem I'm having is using that data (1.7 @ 2000 secs) to calculate the WOULD-BE price of using a 150% less efficient method. I KNOW the answer, which is 1.1 cents/sec @ 3000 secs, but I would like to arrive at the answer using the first set of data.
1.1 cents/sec for 3000 seconds - necessarily alters the cents/sec earnings of the person, over a greater time. This is for an equal outcome ~$$33-34 TOTAL. The problem boils down to figuring how many
cents/seconds to decrease and
by how many total seconds from the first set of data.
I think the answer to this is a little more complicated ( as whatever fraction i multiply by, that represents the "efficiency level", i.e 150%, which i think would mean 3/2) can go toward both the per/sec rate and total second in time numbers.
To me, this represents a relationship of 2 figures whose outcomes both rely on each, ( what do I call this ), and how do I go about solving for the most likely/median scenario of this (function?) (Would this relationship be considered a function, in that, as the cents/sec decreases, the total time must increase to account for the decrease. I can plug and play with whatever number will give me whatever result, but in general, I'd like to derive at least
ONE working combination of the second dataset, based off of the first.
boiled down, my question still remains:
How do i apply the figure that means
150%-LESS efficiency to the current equation/calculation ( 1.7 cents/sec for 2000 secs) in order to derive the 'projected result' that is what would-be if doing the task manually. multiply by fraction, decimal, etc?? This part I forget how to go about it (both examples would be SO HELPFUL) I know it involves cross multiplying but why or how I am not sure.