Mathematics For Economic Analysis 1 Set 3
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This set of Mathematics for Economic Analysis 1 Multiple Choice Questions & Answers (MCQs) focuses on Mathematics For Economic Analysis 1 Set 3
Q1 | A mathematical statement setting two algebraic expressions equal to each other is called
- equation
- hypothesis
- inequality
- all the above
Q2 | An equation in which all variables are raised to the first power is known as
- linear equation
- non-linear equation
- quadratic equation
- polynomial of degree two
Q3 | The slope of a horizontal line is
- one
- zero
- two
- three
Q4 | The slope of a vertical line is
- one
- zero
- two
- undefined
Q5 | An iso-cost line represents
- different combinations of two inputs that can be purchased with a given sum of money
- different combinations of two goods that can be purchased with a given income
- both (a) and (b)
- none of these
Q6 | (A+B)+C = A+(B+C). This law of matrices is known as
- cumulative law
- associative law
- distributive law
- identity law
Q7 | (A+B) = (B+A). this law of matrices is known as
- cumulative law
- associative law
- distributive law
- identity law
Q8 | k (A+B) = kA + kB. This law of matrices is known as
- cumulative law
- associative law
- distributive law
- identity law
Q9 | If in a matrix, the number if rows is the same as the number of columns, it is called
- singular matrix
- non-singular matrix
- square matrix
- column vector
Q10 | In a matrix, if there is only one row but any number of columns, it is called
- row matrix
- column matrix
- row vector
- both a & c
Q11 | If all the elements of a matrix of any order are zero, it is called
- identity matrix
- null matrix
- zero matrix
- both b & c
Q12 | A square matrix with 1’s in its principal diagonal and zeros everywhere else is
- diagonal matrix
- identity matrix
- leading diagonal
- scalar matrix
Q13 | If the columns of a given matrix A and B are changed into rows and vice-versa, the matrix thusobtained is called the
- symmetric matrix
- transpose of a matrix
- singular matrix
- rank of a matrix
Q14 | A square matrix A, such that A = A’, is called a
- symmetric matrix
- skew-symmetric matrix
- singular matrix
- rank of a matrix
Q15 | If the determinant formed by the elements of the matrix A is equal to zero, then the matrix is
- skew symmetric
- symmetric
- singular
- non-singular
Q16 | If the determinant formed by the elements of the matrix is not equal to zero, then the matrix iscalled
- skew symmetric
- symmetric
- singular
- non-singular
Q17 | The matrix A multiplied by its inverse will be a
- identity matrix
- skew-symmetric matrix
- idempotent matrix
- adjoint of a matrix
Q18 | A inverse is defined only if A is a
- square matrix
- column vector
- orthogonal matrix
- skew-symmetric matrix
Q19 | the sufficient condition required for the matrix to possess inverse is that the matrix should be
- square matrix
- singular matrix
- non-singular matrix
- orthogonal matrix
Q20 | which method is used for finding inverse of a matrix
- gauss elimination method
- henrich standard method
- co-factor method
- both a & c
Q21 | A matrix with all elements zero other than all the diagonals is called
- diagonal matrix
- orthogonal matrix
- unit matrix
- column vector
Q22 | Find the co-factor A23 of the matrix A =
- 23
- 7
- -23
- -7
Q23 | A diagonal matrix whose diagonal elements are equal is called
- unit matrix
- singular matrix
- scalar matrix
- non-singular matrix
Q24 | A square matrix A of order mxn is called an upper triangular matrix if aij = o for all
- i > j
- i < j
- i = j
- all of the above
Q25 | If A & B are symmetric matrices, then A + B is
- symmetric
- non-symmetric
- skew symmetric
- non-skew symmetric