Consider a firm with a production function of the following form:F (L, K) = L(1/4)K(1/2)
20
the corresponding marginal products are
MPL = 1 L(−3/4)K(1/2)
4 20MPK = 1 L(1/4)K(−1/2)
2 20
The cost of a unit of labour is the wage rate w and the cost of a
unit of capital is the
rental rate r. The firm is free to adjust all factors of
production. (19 points)
a. Does this production function exhibit decreasing returns,
increasing returns, or
constant returns to scale?
b. Set up the cost minimization problem and derive the conditional input demand functions for the firm.
c. Provide an expression for the total cost curve for a given level of output q (the cost function should be a function of only the exogenous variables).
In: Economics
| 1 | 1 | 111.5 |
| 1 | 2 | 97.7 |
| 1 | 3 | 126.1 |
| 2 | 1 | 94.4 |
| 2 | 2 | 70.5 |
| 2 | 3 | 93.1 |
| 3 | 1 | 73.9 |
| 3 | 2 | 56.2 |
| 3 | 3 | 84.6 |
In many agricultural and biological experiments, one may use a two‑way model with only one observation per cell. When one of the factors is related to the grouping of experimental units into more uniform groups, the design may be called a randomized complete block design (RCBD). The analysis is similar to a two‑way analysis of variance (question B) except that the model does not include an interaction term.
The specific leaf areas (area per unit mass) of three types of citrus each treated with one of three levels of shading are stored in Table C. The first column contains the code for the shading treatment, the second column contains the code for the citrus species, and the third column contains the specific leaf area. Assume that there is no interaction between citrus species and shading. Carry out a two‑way analysis of this data.
The shading treatment and citrus species are coded as follows:
Treatment Code Species Code
Full sun 1 Shamouti orange 1
Half shade 2 Marsh grapefruit 2
Full shade 3 Clementine mandarin 3
nCopy the treatment code, the species code, and the specific leaf area into the EXCEL worksheet, label the columns and look at the data.
{Example 1}
nPerform a two‑way (without interaction) analysis of this data and answer the following questions. Use a 5% significance level.
|
Source of variation |
Degrees of freedom |
Sum of squares |
Mean square |
F |
P |
||||
|
Shading treatment |
2 |
||||||||
|
Citrus species |
2 |
||||||||
|
Error |
4 |
|
24. Should the hypothesis that shading treatment has no effect on specific leaf area be rejected (1) or not (0)? |
|
25. Should the hypothesis that citrus species do not differ in specific leaf area be rejected (1) or not (0)? |
|
26. What is the estimate of the average (pooled) variance in this experiment (i.e. Error mean square)? |
|
27. What are the error degrees of freedom for the pooled variance? |
{Example 26}
Recall that the confidence interval for a difference between two means is based on a calculation of the margin of error of the estimated difference. With a common variance (Error MS) and the same number of observations in all shading treatments, the margin of error of an estimated difference will be the same whether we calculate it for treatments 1 and 2, 1 and 3, or 2 and 3. This margin of error of the difference between two means is sometimes referred as the least significant difference (LSD).
nCalculate the LSD for comparing shading treatments in this experiment.
LSD = critical tvalue ´standard error of difference.
Use the critical t value with 4 degrees of freedom is t 0.025,4= 2.776.
n is the number of times of times each treatment was tested (in this case n = 3 for the 3 species).
|
28. What is the least significant difference (a = 0.05) for comparing shading treatments in this experiment? |
In: Statistics and Probability
Consider the following reactions:
Zn^2+ + 4H3 <----> Zn(NH3)4^2+ beta 4 = 5.01 x 10^8
Zn^2+ + 2e^- <-----> Zn(s) E degree = -0.762 V
Assuming there is negligible current and nearly all Zn^2+ is in the form Zn(NH3)4^2+. what cathode potential (vs. S.H.E.) would be required to reduce 99.99% of the Zn^2+ from a solution containing 0.20 M Zn^2+ in 1.4 M ammonia? (Assume T= 298 K)
________V
In: Chemistry
Direction ratio of line joining (2, 3, 4) and (−1, −2, 1), are:
A. (−3, −5, −3)
B. (−3, 1, −3)
C. (−1, −5, −3)
D. (−3, −5, 5)
In: Math
2. Given A = | 2 1 0 1 2 0 1 1 1 |.
(a) Compute eigenvalues of A.
(b) Find a basis for the eigenspace of A corresponding to each of the eigenvalues found in part (a).
(c) Compute algebraic multiplicity and geometric multiplicity of each eigenvalue found in part (a).
(d) Is the matrix A diagonalizable? Justify your answer
In: Advanced Math
Suppose gg is a function which has continuous derivatives, and that g(1)=1,g′(1)=5, g″(1)=4, g‴(1)=2
(a) What is the Taylor polynomial of degree 2
for g near 1?
P2(x)=
(b) What is the Taylor polynomial of degree 3
for g near 1?
P3(x)=
(c) Use the two polynomials that you found in
parts (a) and (b) to approximate g(1.1).
With P2, g(1.1)≈
With P3, g(1.1)≈
In: Math
Question2.
Let A = [2 1 1
1 2 1
1 1 2 ].
(a) Find the characteristic polynomial PA(λ) of A and the eigenvalues of A. For convenience, as usual, enumerate the eigenvalues in decreasing order λ1 ≥ λ2 ≥ λ3.
(b) For each eigenvalue λ of A find a basis of the corresponding eigenspace V (λ). Determine (with a motivation) whether V (λ) is a line or a plane through the origin. If some of the spaces V (λ) is a plane find an equation of this plane.
(c) Find a basis of R 3 consisting of eigenvectors if such basis exist. (Explain why or why not). Is the matrix A diagonalizable? If ”yes”, then write down a diagonalizing matrix P, and a diagonal matrix Λ such that A = PΛP −1 , P −1AP = Λ. Explain why the matrix P is invertible but do not compute P −1 .
(d) Consider the eigenvalues λ1 > λ3. Is it true that the orthogonal complements of the eigenspaces satisfy (Vλ1 ) ⊥ = Vλ3 , (Vλ3 ) ⊥ = Vλ1 ? Why or why not??
In: Advanced Math
Let A = 2 1 1
1 2 1
1 1 2
(a) Find the characteristic polynomial PA(λ) of A and the eigenvalues of A. For convenience, as usual, enumerate the eigenvalues in decreasing order λ1 ≥ λ2 ≥ λ3.
(b) For each eigenvalue λ of A find a basis of the corresponding eigenspace V (λ). Determine (with a motivation) whether V (λ) is a line or a plane through the origin. If some of the spaces V (λ) is a plane find an equation of this plane.
(c) Find a basis of R 3 consisting of eigenvectors if such basis exist. (Explain why or why not). Is the matrix A diagonalizable? If ”yes”, then write down a diagonalizing matrix P, and a diagonal matrix Λ such that A = PΛP −1 , P −1AP = Λ. Explain why the matrix P is invertible but do not compute P −1 .
(d) Consider the eigenvalues λ1 > λ3. Is it true that the orthogonal complements of the eigenspaces satisfy (Vλ1 ) ⊥ = Vλ3 , (Vλ3 ) ⊥ = Vλ1 ? Why or why not??
In: Advanced Math
Problem 13-4 Various liabilities [LO13-1, 13-2, 13-3, 13-4]
The unadjusted trial balance of the Manufacturing Equitable at
December 31, 2018, the end of its fiscal year, included the
following account balances. Manufacturing’s 2018 financial
statements were issued on April 1, 2019.
| Accounts receivable | $ | 104,000 |
| Accounts payable | 40,000 | |
| Bank notes payable | 616,000 | |
| Mortgage note payable | 1,445,000 | |
Other information:
Required:
1. Prepare any necessary adjusting journal entries
at December 31, 2018, pertaining to each item of other information
(a–d).
2. Prepare the current and long-term liability
sections of the December 31, 2018, balance sheet.
In: Accounting
Problem 13-4 Various liabilities [LO13-1, 13-2, 13-3, 13-4]
The unadjusted trial balance of the Manufacturing Equitable at
December 31, 2018, the end of its fiscal year, included the
following account balances. Manufacturing’s 2018 financial
statements were issued on April 1, 2019.
| Accounts receivable | $ | 92,500 |
| Accounts payable | 35,000 | |
| Bank notes payable | 600,000 | |
| Mortgage note payable | 1,200,000 | |
Other information:
Required:
1. Prepare any necessary adjusting journal entries
at December 31, 2018, pertaining to each item of other information
(a–d).
2. Prepare the current and long-term liability
sections of the December 31, 2018, balance sheet.
In: Accounting