The cost of controlling emissions at a firm rises rapidly as the amount of emissions reduced increases. here is a possible model:
c(q) = 1,300 + 197q2
where q is the reduction in emissions (in pounds of pollutant per day) and c is the daily cost to the firm (in dollars) of this reduction. what level of reduction corresponds to the lowest average cost per pound of pollutant? (round your answer to two decimal places.)

a) pounds of pollutant per day
what would be the resulting average cost to the nearest dollar?
per pound

The level of reduction that corresponds to the lowest average cost per pound of pollutant is pounds of pollutant per day.

The resulting average cost is $1012 per pound.

Step-by-step explanation:

We know the cost of controlling emissions where q is the reduction in emissions (in pounds of pollutant per day) and C is the daily cost to the firm (in dollars) of this reduction.

We need to identify the objective function. The objective function is the quantity that must be made as small as possible.

In this case it is the average cost, which is given by

Next, we want to minimize the function for this we need to find the derivative

Now, we set the derivative equal to zero and solve for q to find critical points. Critical points are where the slope of the function is zero or undefined.

We reject because we can have negative reduction in emissions.

We apply the Second Derivative Test,

If , then f has a local minimum at

We find

We can see that , then has a local minimum at .

The level of reduction that corresponds to the lowest average cost per pound of pollutant is pounds of pollutant per day.

And the resulting average cost is $1012 per pound.

i think it is 70

step-by-step explanation: