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Published on: 04/06/2021
QB365 provides detailed and simple solution for every Book back Questions in class 12 Business Maths Subject. It will helps to get more idea about question pattern in every book back questions with solution.
Download Tamil Nadu 12th Standard Business Maths and Statistics question papers, model tests, one-mark questions, important questions, and public exam papers in PDF format. Free study materials and answer keys for TN State Board students.
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Take MCQ Business Maths and Statistics Test

1.
Solve the following equation by using Cramer’s rule
5x + 3y = 17; 3x + 7y = 31
2.
Find the rank of each of the following matrices.
\(\left( \begin{matrix} 1 & -2 & 3 \\ -2 & 4 & -1 \\ -1 & 2 & 7 \end{matrix}\begin{matrix} 4 \\ -3 \\ 6 \end{matrix} \right) \)
3.
Find the rank of each of the following matrices.
\(\left( \begin{matrix} 1 & 2 & -1 \\ 2 & 4 & 1 \\ 3 & 6 & 3 \end{matrix}\begin{matrix} 3 \\ -2 \\ -7 \end{matrix} \right) \)
4.
Find the rank of each of the following matrices.
\(\left( \begin{matrix} -1 & 2 & -2 \\ 4 & -3 & 4 \\ -2 & 4 & -4 \end{matrix} \right) \)
5.
Find the rank of each of the following matrices.
\(\left( \begin{matrix} 2 & -1 & 1 \\ 3 & 1 & -5 \\ 1 & 1 & 1 \end{matrix} \right) \)
1.
\(\Delta =\left| \begin{matrix} 5 & 3 \\ 3 & 7 \end{matrix} \right| =5(7)-3(3)\)
= 119 - 93 = 26
\(\Delta x=\left| \begin{matrix} 17 & 3 \\ 31 & 7 \end{matrix} \right| =17(7)-31(3)\)
= 119 - 93 = 2
\(\Delta y=\left| \begin{matrix} 5 & 17 \\ 3 & 31 \end{matrix} \right| =5(31)-17(3)\)
= 155 - 51 = 104

\(\therefore\) Solution set is (1, 4)
2.
A =\(\left( \begin{matrix} 1 & -2 & 3 \\ -2 & 4 & -1 \\ -1 & 2 & 7 \end{matrix}\begin{matrix} 4 \\ -3 \\ 6 \end{matrix} \right) \)
The order of A is 3 x 4
\(\therefore \rho (A)\le \text{minimum} \ of(3,4)\)
\(\rho (A)\le 3\)
Let us transform the matrix A to an echelon form
| Matrix A | Elementary Transformation |
|---|---|
| \(A=\left( \begin{matrix} 1 & -2 & 3 \\ -2 & 4 & -1 \\ -1 & 2 & 7 \end{matrix}\begin{matrix} 4 \\ -3 \\ 6 \end{matrix} \right) \) | |
| \(\sim \left( \begin{matrix} 1 & -2 & 3 \\ 0 & 0 & 5 \\ -1 & 2 & 7 \end{matrix}\begin{matrix} 4 \\ 5 \\ 6 \end{matrix} \right) \) | \({ R }_{ 2 }-{ R }_{ 2 }+2{ R }_{ 1 }\) |
| \(\left( \begin{matrix} 1 & -2 & 3 \\ 0 & 0 & 5 \\ 0 & 0 & 10 \end{matrix}\begin{matrix} 4 \\ 5 \\ 10 \end{matrix} \right) \) | \({ R }_{ 3 }\rightarrow { R }_{ 3 }+{ R }_{ 1 }\) |
| \(\left( \begin{matrix} 1 & -2 & 3 \\ 0 & 0 & 5 \\ 0 & 0 & 0 \end{matrix}\begin{matrix} 4 \\ 5 \\ 0 \end{matrix} \right) \) | \({ R }_{ 3 }\rightarrow { R }_{ 3 }-2{ R }_{ 2 }\) |
The matrix is in echelon form and the number of non- zero rows is 2
\(\therefore \rho (A)=2\)
3.
Let A =\(\left( \begin{matrix} 1 & 2 & -1 \\ 2 & 4 & 1 \\ 3 & 6 & 3 \end{matrix}\begin{matrix} 3 \\ -2 \\ -7 \end{matrix} \right) \)
The order of A is 3 x 4
\(\therefore \rho \left( A \right) \le 3\) [Since minimum of (3, 3) is 3]
Let us transform the matrix to an echelon form.
| Matrix A | Elementary Transformation |
|---|---|
| \(A=\left( \begin{matrix} 1 & 2 & -1 \\ 2 & 4 & 1 \\ 3 & 6 & 3 \end{matrix}\begin{matrix} 3 \\ -2 \\ -7 \end{matrix} \right) \) | |
| \(\sim \left( \begin{matrix} 1 & 2 & -1 \\ 0 & 0 & 3 \\ 3 & 6 & 3 \end{matrix}\begin{matrix} 3 \\ -8 \\ -7 \end{matrix} \right) \) | \({ R }_{ 2 }\rightarrow { { R }_{ 2 }-2{ R }_{ 1 } }\) |
| \(\sim \left( \begin{matrix} 1 & 2 & -1 \\ 0 & 0 & 3 \\ 0 & 0 & 6 \end{matrix}\begin{matrix} 3 \\ -8 \\ -16 \end{matrix} \right) \) | \({ R }_{ 3 }\rightarrow { R }_{ 2 }-3{ R }_{ 1 }\) |
| \(\left( \begin{matrix} 1 & 2 & -1 \\ 0 & 0 & 3 \\ 0 & 0 & 0 \end{matrix}\begin{matrix} 3 \\ -18 \\ 0 \end{matrix} \right) \) | \({ R }_{ 3 }\rightarrow { R }_{ 3 }-2{ R }_{ 2 }\) |
The matrix is in echelon form and the number of non- zero rows is 2.
\(\therefore \rho (A)=2\)
4.
Let A = \(\left( \begin{matrix} -1 & 2 & -2 \\ 4 & -3 & 4 \\ -2 & 4 & -4 \end{matrix} \right) \)
The order of A is 3 x 3
\(\therefore \rho (A)\le 3\) [Since minimum of (3,3) is 3]
Let us transform the matrix to an echelon form
| Matrix A | Elementary Transformation |
|---|---|
| \(A=\left( \begin{matrix} -1 & 2 & -2 \\ 4 & -3 & 4 \\ -2 & 4 & -4 \end{matrix} \right) \) | |
| \(\sim \left( \begin{matrix} 1 & -2 & 2 \\ 4 & -3 & 4 \\ -4 & 4 & -4 \end{matrix} \right) \) | \(R_{ 1 }\rightarrow { R }_{ 1 }\left( -1 \right) \) |
| \(\sim \left( \begin{matrix} 1 & -2 & 2 \\ 0 & 5 & -4 \\ -2 & 4 & -4 \end{matrix} \right) \) | \({ R }_{ 2 }\rightarrow { R }_{ 2 }-4{ R }_{ 1 }\) |
| \(\sim \left( \begin{matrix} 1 & -2 & 2 \\ 0 & 5 & -4 \\ 0 & 0 & 0 \end{matrix} \right) \) | \({ R }_{ 3 }\rightarrow { R }_{ 32 }+2R_{ 1 }\) |
The matrix is in echelon form and the number of non-zero rows is 2.
\(\therefore \rho (A)=2\)
5.
Let \(A=\left( \begin{matrix} 2 & -1 & 1 \\ 3 & 1 & -5 \\ 1 & 1 & 1 \end{matrix} \right) \)
The order of A is 3 x 3
\(\therefore \rho (A)\le 3\) [Since minimum of (3,3) is 3]
Let us transform the matrix A to an echelon form
| Matrix A | Elementary Transformation |
|---|---|
| \(A=\left( \begin{matrix} 2 & -1 & 1 \\ 3 & 1 & -5 \\ 1 & 1 & 1 \end{matrix} \right) \) | |
| \(\sim \left( \begin{matrix} 1 & 1 & 1 \\ 3 & 1 & -5 \\ 2 & -1 & 1 \end{matrix} \right) \) | \({ R }_{ 1 }\leftrightarrow { R }_{ 3 }\) |
| \(\sim \left( \begin{matrix} 1 & 1 & 1 \\ 0 & -2 & -8 \\ 0 & -3 & -1 \end{matrix} \right) \) | \({ { R }_{ 2 }\rightarrow { R }_{ 2 }3{ R }_{ 1 } }\) \({ R }_{ 3 }-{ R }_{ 3 }-2{ R }_{ 1 }\) |
| \(\sim \left( \begin{matrix} 1 & 1 & 1 \\ 0 & -1 & -4 \\ 0 & -3 & -1 \end{matrix} \right) \) | \({ R }_{ 2 }\rightarrow { R }_{ 2 }\div 2\) |
| \(\sim \left( \begin{matrix} 1 & 1 & 1 \\ 0 & -1 & -4 \\ 0 & 0 & 11 \end{matrix} \right) \) | \({ R }_{ 3 }\rightarrow { R }_{ 3 }-3{ R }_{ 2 }\) |
This matrix is in echelon from and number of non zero rows is 3.
\(\therefore \rho (A)=3\)
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