Unit: Quantitative Analysis
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Login to Access| \(A = \begin{bmatrix} 10 & 4 \\ 4 & 2 \end {bmatrix}; X = \begin{bmatrix} a & b \\ c & d \end {bmatrix}; A = \begin{bmatrix} 18 & 14 \\ 8 & 10 \end {bmatrix};\) |
| \(\displaystyle (1 - A)^{-1} = \frac{1}{0.086} \begin{bmatrix} 0.28 & 0.08 & 0.10 \\ 0.16 & 0.23 & 0.18 \\ 0.10 & 0.09 & 0.22 \end{bmatrix}\) |
Required:
Calculate the cost of a carton of apples and a carton of bananas using matrix algebra
| Inputs to | ||||
| Output | \(X_1\) | \(X_2\) | \(X_3\) | Final demand (units) |
| \(X_1\) | 40 | 40 | 40 | 680 |
| \(X_2\) | 40 | 80 | 80 | 1,400 |
| \(X_3\) | 400 | 1,200 | 280 | 2,120 |
| Production sector | Purchase sector | Consumer demand | |
| X1 | X2 | ||
| X1 | 500 | 800 | 200 |
| X2 | 600 | 1,400 | 400 |
A certain firm has three main departments namely; steel, motor vehicles and construction. The three departments are interdependent. Each unit of output from the steel department requires 0.2, 0.3 and 0.4 units from steel, motor vehicles and construction departments respectively. Each unit of output from motor vehicles department requires 0.2, 0.4 and 0.2 units from steel, motor vehicles and construction departments respectively. A unit of output from the construction department requires 0.3, 0.4 and 0.1 units from steel, motor vehicles and construction departments respectively. The final demand of the firm comprises 20 million, 50 million and 30 million units of output from steel, motor vehicles and construction departments respectively.
| Output (units "000") | |||||
| A | B | C | D | ||
| Machines | M1 | 12 | 12 | 6 | 13 |
| M2 | 18 | 20 | 22 | 20 | |
| M3 | 16 | 15 | 12 | 18 | |
| M4 | 14 | 12 | 16 | 12 | |
| To | ||||
| Paid | Delinquent | Bad debt | ||
| Paid | 285.000 | 15,000 | 0 | |
| From | Delinquent | 20,000 | 700,000 | 30,000 |
| Bad debt | 0 | 0 | 450,000 |
| Product | |||
|
Material (Kilogrammes) Labour (Hours) |
A
5 3 |
B
7 4 |
Available resources
13,400 7,800 |
| Product | |||
|
Labour/Hour (Sh.) Material/Kilogramme (Sh.) |
A
140 236 |
B
265 710 |
Error
±10% ±5% |
