Question # 1

"No two elements of a set are identical" this statements is.

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Always true

Sometimes true

Not true

All of the above is possible

The increase in dependent variable that results when the independent variable increases by one unit in a simple lines. function is called.

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Y intercept of the curve

Slope of the curve

X intercept of the curve

Marginal value

If matrix A is matrix of order n x m and B is another matrix of order m x n, then BA will be the matrix of order.

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n x m

m x n

n x n

m x m

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

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Dependent variable

Independent variable

Endogenous variable

Explained variable

The sufficient condition required for the matrix to posses inverse is that the matrix should be.

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square matrix

Singular matrix

Non singular matrix

Orthogonal matrix

A square matrix a such that A2 = a is called.

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Orthogonal matrix

Skew symmetric matrix

Idempotent matrix

Singular matrix

The variable that stands alone on the left hand side of the equation such as y = 2x + 1 is known as.

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Dependent variable

Independent variable

Endogenous variable

Explained variable

A matrix with all elements zero other than all the diagonals is called.

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Diagonal matrix

Orthogonal matrix

Unit matrix

Column vector

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

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Associative law of union

Cumulative law of union

Reflective law

All the above

If any equation involving two variables, such as y -=2x + 1, the variable that appears on the right hand side of the equation is by convention called.

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Dependent variable

independent variable

Endogenous variable

Explained variable

(A+B) = (B+A) this law of matrices is known as.

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Cumulative law

Associative law

Distributive law

Identity law

The elements in the Horizontal line in a matrix is called.

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Columns

Rows

Elements

Diagonal

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

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Always true

sometimes true

Never true

True subject to some conditions

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

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A

1A

1

Both a and b

(A+B) + C =a +(B+C) This law of matrices is known as.

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Cumulative law

Associative law

Distributive law

Identity law

A set containing all the elements of the universal set except those of set A is called.

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Complement of set A

Complement of universal set

Union of A and universals set

Universal set itself

Union of A and the universal set is

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A

A'

Universal set

None of these

if A = A , then A is

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Symmetric matrix

Skew symmetric matrix

Identity matrix

Orthogonal matrix

The equilibrium price and quantity , given the inverse demand and supply functions.

po = 3q +30 and p s = 2q -5

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p = 9 and q = 7

p = 10 and q = 7

p = 9 and q = 8

p = 7 and q = 9

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

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Production possibility curve

Demand cuve

Isocost liine

Supply curve

If every elements of a raw or column of a square matrix A is zero, then the value of the determinant .

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Equal

Zero

One

Negative related

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