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Question: 1. Can a Cobb-Douglas production function possess varying returns to scale? Explain!
2. Assume that the Cobb-Douglas production function for a beer manufacturer is q = 1.52 L0.6 k0.4. Calculate the average fixed cost if we also assume that the firm's capital is fixed at 250 units and the rental rate of capital is $5 per unit.
3. Discuss and explain the situation involving the tangency between the isocost line and the isoquant.
Roper ASW conducted a survey to learn about American adults' attitudes toward money and happiness (Money October 2003).
Assume the population standard deviation is s = 25. Compute the standard error of the mean. sx for sample sizes of 50. 100. 150.
BUS107e Quantitative Methods Assignment. Develop the portfolio selection case as a linear programming problem. Please explain clearly how you choose the decision variables, formulate the objective function and constraints. Solve for the optimal sol..
For the following feedback filters, determine the locations of the poles and zeros and plot the positions in the z-plane.
Clark and Lana take a 30-year home mortgage of $121,000 at 7.8%, compounded monthly. They make their regular monthly payments for 5 years.
A process is monitored using an X? chart with UCL = 13.8 and LCL = 8.2. The process standard deviation is estimated to be 6.6. If the X? chart.
In the Rawhide Company (a leather products distributor), decisions regarding approval of proposals for capital investment are based upon a stipulated MARR.
Suppose there are two types of movie: Arty (A), and Popcorn (P). These films may be either Decent (D) or Terrible (T). 35% of all movies are Arty. 20% of all movies are both Arty and Decent. If a film is Popcorn, there is a 75% chance that it is T..
If t(x) = x sin?x t'(x) = dy/dx Find the general value of tn (x)
What equation will generate the number of tiles for a height of n? Use the diagrams (you can expand them) and the table to show how you arrived at your equation.
Find the value of a which makes E[e2n+1] as small as possible and find the resulting value of the mean square error, E[e2n+1] How does this compare with the power in the original process E[X2n].
To analyze the winning times for the Olympic Men's 400 Meter Dash using a linear model. The winning times were gathered for the most recent 16 Summer Olympics, post-WWII. (More data was available, back to 1896.)
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