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

A function where a variable x can only very in jumps, is often called.

Question # 2

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

Question # 3

Collection of well defined distinct objects thought of as a whole is called

Question # 4

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

Question # 5

If each element of a raw or column is a sum of two elements, the determinant can be expressed as the

Question # 6

The set of all elements belonging to A but not to B is.

Question # 7

The determinant of a matrix and that of its transpose are

Question # 8

If the determinant formed by the elements of the matrix is not equal to zero, then the matrix is called.

Question # 9

Ordered Pairs of two sets are called.

Question # 10

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 # 11

if two sets do not have any common element, then they are called.

Question # 12

A linear function of the form 6x2 - 2y + 8 = 0 is known as.

Question # 13

any number raise to the power zero is always equal to.

Question # 14

Union of A with A, that is A U A.

Question # 15

If two sets contain the same distinct elements, then they are called.

Question # 16

Who is regarded as the founder of theory of sets.

Question # 17

If A is a square matrix of order ' n' and lis the unit matrix of the same order then A 1 is equal to.

Question # 18

The objects constituting a set are called

Question # 19

If matrix A is of m x n dimension, then A will be

Question # 20

A square matrix a of order 'n' is called a diagonal matrix if its non diagonal elements are.

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Economics
13th Chapter

PPSC Economics Chapter 13 Test

Here you can prepare PPSC Economics Chapter 13 (Mathematics For Economics) Test. Click the button for 100% free full practice test.

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PPSC Economics Chapter 13 Important MCQ's

Sr.# Question Answer
1 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
2 "Null set is proper subset of all the non nul sets" this statement is.
A. Always true
B. sometimes true
C. Never true
D. True subject to some conditions
3 Who is regarded as the founder of theory of sets.
A. Adam Smith
B. Karl Frederich Gauss
C. George cantor
D. Euller
4 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
5 A inverse is defined only if A is a
A. Square matrix
B. Column vector
C. Orthogonal matrix
D. Skew symmetric matrix
6 The simplest form of rectangular hyperbola is
A. y = 1/x
B. y = x2
C. y = x-2
D. y = x3
7 A square matrix a of order 'n' is called a diagonal matrix if its non diagonal elements are.
A. zero
B. Non zero
C. One
D. None of the above
8 A square matrix A, such that A = A ' is called a
A. Symmetric matrix
B. Skew symmetric matrix
C. Singular matrix
D. Rank of a matrix
9 If every element of a set B is also an elements of A then
A. A is a subset of B
B. B is a subset of A
C. A is not a subset of B
D. B is not a subset of A
10 The sufficient condition required for the matrix to posses inverse is that the matrix should be.
A. square matrix
B. Singular matrix
C. Non singular matrix
D. Orthogonal matrix

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