Top 150+ Solved Mathematics for Economic Analysis 1 MCQ Questions Answer
Q. If the value of the Jacobian determinant , the equations are
a. functionally dependent
b. functionally independent
c. linearly dependent
d. none of these
Q. A Jacobian determinant is used to test
a. linear functional dependence between equations
b. non-linear functional dependence between equations
c. both linear and non-linear functional dependence between equations
d. none of these
Q. A positive definite Hessian fulfills the second-order conditions for
a. maximum
b. minimum
c. both maximum and minimum
d. minimax
Q. A negative definite Hessian fulfills the second order conditions for
a. maximum
b. minimum
c. both maximum and minimum
d. minimax
Q. The determinant of a quadratic form is called
a. jacobian determinant
b. hessian determinant
c. discriminant
d. none of these
Q. A mathematical statement setting two algebraic expressions equal to each other is called
a. equation
b. hypothesis
c. inequality
d. all the above
Q. An equation in which all variables are raised to the first power is known as
a. linear equation
b. non-linear equation
c. quadratic equation
d. polynomial of degree two
Q. An iso-cost line represents
a. different combinations of two inputs that can be purchased with a given sum of money
b. different combinations of two goods that can be purchased with a given income
c. both (a) and (b)
d. none of these
Q. (A+B)+C = A+(B+C). This law of matrices is known as
a. cumulative law
b. associative law
c. distributive law
d. identity law
Q. (A+B) = (B+A). this law of matrices is known as
a. cumulative law
b. associative law
c. distributive law
d. identity law
Q. k (A+B) = kA + kB. This law of matrices is known as
a. cumulative law
b. associative law
c. distributive law
d. identity law
Q. If in a matrix, the number if rows is the same as the number of columns, it is called
a. singular matrix
b. non-singular matrix
c. square matrix
d. column vector
Q. In a matrix, if there is only one row but any number of columns, it is called
a. row matrix
b. column matrix
c. row vector
d. both a & c