The total cost function is given byC(x)=2x3−3.5x2+x. Find the marginal average cost function. View Solution A firm has the following total cost and demand function:C(x)=x33−7x2+11x+50,x=100−pFind the profit function.
Question: Find the marginal revenue function There are 3 steps to solve this one.
I have one question if you do not mind, can I use only SUM function instead of SUMX? It seems that SUM can only sum one field, that is why I tried Revenue = SUM(Price) *SUM(Quanitity) I could not do this Revenue = SUM (Price *Quanitity) Thank you once again. I ...
A factory’s revenue function is dollars in the year t from now,and the cost function is dollars,where t = 0 corresponds to now.Which year from now the factory can get the break-even?When the factory gets the break-even,what is the total profit in these t years from now?A ball ...
dict[revenue_verb()] = TransactionType::revenue; dict[balance_sheet_verb()] = TransactionType::balance_sheet; dict[envelope_verb()] = TransactionType::envelope; dict[generic_verb()] = TransactionType::generic; calculated_already =true; ...
How to find maximum revenue calculus? Consider the function f(x) = 5+2x-4x^3 (a) What is the derivative of f(x)? Use a sign diagram to determine where f(x) is (1) increasing and (2) decreasing. Evaluate f_x at (2.9, b) for the function: f(x, y) = (x + y)/...
Answer to: Find the break-even point for the firm whose cost function C and revenue function R are given. C(x) = 210x + 15,000; R(x) = 300x By...
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When looking at your revenue variance, you want to have a complete insight into what’s driving the changes you are seeing. You’re probably dealing with questions... Read More Top 9 Power BI Dashboard Examples Guide Power BI A great dashboard is actionable. It will do more than just di...
Below is a dataset with 3 columns: “Company,”“Advertising,” and “Revenue.” We will find the relationship between advertising and revenue generation for Company XYZ. This error will tell us how much our predicted values differ from the actual values.Method 1 – Using Regression Analysis ...