PPSC Economics Topic 13 MCQS Test Preparation

If you have completed your higher education in the economy subject and now are looking to start your professional career through PPSC then you are at the right place now. The team of Ilmkidunya offers you online MCQs tests of economics subject. Candidates can find Topic -wise tests and full book tests. For every single Topic  or category, separate sections are designed. Here on this page candidates can find the MCQS PPSC test for Topic  13.

MCQ's Test For PPSC Economics Topic 13 Mathematics in Economics

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PPSC Economics Topic 13 Mathematics in Economics

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Question # 1

"Null set is proper subset of all the non nul sets" this statement is.

Question # 2

A variable which is free to take any value we choose to assign to it is called.

Question # 3

If the columns of a given matrix A and B are changed into rows and vice versa, the matrix thus obtained is called the.

Question # 4

a possible use in encomia's for the circle or the ellipse is to model.

Question # 5

A negative definite Hessian fulfills the second order conditions for.

Question # 6

If the determinant formed by the elements of the matrix A is equal to zero, then the matrix is.

Question # 7

The set which contains all the element of the two given sets A and B, avoiding duplication, is called.

Question # 8

For any square matrix A of order 'n' a +A is.

Question # 9

If A and B are symmetric matrices, then A +B is

Question # 10

if A = A , then A is

Question # 11

If every element of a set B is also an elements of A then

Question # 12

If a consumer's budget constraint is given as P, X,+ Py Y = B thent he absolute slope of the budget line is.

Question # 13

If two sets contains the same number of distinct elements but not the same elements are called.

Question # 14

A determinant compose of all the second order partial derivatives, with the second order direct partials on the principal diagonal and the second order cross partials off the principal diagonal and which is used to second order condition of optimization is called.

Question # 15

Union of A with B is same as union of B with A, that is AUB = BUA is termed as

Question # 16

A possible use in economies for the circle of the ellipse is to model.

Question # 17

Given the demand and supply cautions qo = -8p + 2000 and qs = 12 p - 200 respectively the equilibrium price.

Question # 18

Th transpose of the cofactor matrix is called.

Question # 19

A inverse is defined only if A is a

Question # 20

A square matrix A, such that A = A ' is called a

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Economics
13th Chapter

PPSC Economics Chapter 13 Test

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PPSC Economics Chapter 13 Important MCQ's

Sr.# Question Answer
1 any number raise to the power zero is always equal to.
A. zero
B. one
C. two
D. The number itself
2 The set which contains all the element of the two given sets A and B, avoiding duplication, is called.
A. Intersection of A and B
B. Union of A and B
C. Set A and B
D. None of these
3 If B is a subset of A ,then A is a
A. Super set of B
B. Sub set of B
C. Empty set of B
D. Universal set of B
4 The signed minor of the matrass A is called.
A. Adjoin
B. Co factor
C. Minor
D. Rank
5 If every element of a raw of column of a square matrix A is zero, then the value of the determinant. is.
A. Equal
B. One
C. zero
D. Not equal
6 a possible use in encomia's for the circle or the ellipse is to model.
A. Production possibility curve
B. Demand cuve
C. Isocost liine
D. Supply curve
7 The equilibrium price and quantity , given the inverse demand and supply functions.
po = 3q +30 and p s = 2q -5
A. p = 9 and q = 7
B. p = 10 and q = 7
C. p = 9 and q = 8
D. p = 7 and q = 9
8 A determinant composed of all the first order partial derivatives of a system of equations, arranged in ordered sequence is called.
A. Hassian determinatn
B. Jacobian determiant
C. Discrimianant
D. First order determinant
9 A positive definite Hessian fulfills the second order conditions for
A. Maximum
B. Minimum
C. Both maximum and minimum
D. Mini max
10 if A = A , then A is
A. Symmetric matrix
B. Skew symmetric matrix
C. Identity matrix
D. Orthogonal matrix

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