Question # 1

The associative law of union is

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AU (BUC= (AUB)

U C

AUB = BUA

BUC = BUA

Given the demand function qo = -8p +2000 and tis inverse p = -1/8 qo + 250 ,p in the inverse function which is interpreted as the maximum price that buyers are willing to pay for the.

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Supply price

Demand price

Equilibrium price

Reserved price

The set of 'stars in the sky' is an example of

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Countable set

Infinite set

Finite set

unit set

A positive definite Hessian fulfills the second order conditions for

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Maximum

Minimum

Both maximum and minimum

Mini max

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 A and B are symmetric matrix, then AB- BA is.

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Symmetric

Skew symmetric matrix

Idempotent matrix

Orthogonal matrix

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

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

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Symmetric

Non symmetric

Skew symmetric

Non skew symmetric

Who is regarded as the founder of theory of sets.

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Adam Smith

Karl Frederich Gauss

George cantor

Euller

The slope of a horizontal line is.

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One

Zero

Three

two

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

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

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Non linear functions

Inverse function

Step function

All of above

A diagonal matrix whose diagonal elements are equal is called.

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Unit matrix

Singular matrix

Scalar matrix

Non singular matrix

The point at which the graph cuts the x axis is called.

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x- intercept

y - intercept

slope

None of these

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

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n x m dimension

m x n dimension

n x p dimension

m x m dimension

A determinant composed of all the first order partial derivatives of a system of equations, arranged in ordered sequence is called.

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Hassian determinatn

Jacobian determiant

Discrimianant

First order determinant

A negative definite Hessian fulfills the second order conditions for.

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Maximum

Minimum

both maximum and minimum

Mini max

Th transpose of the cofactor matrix is called.

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Adjoin of the matrix

Power of a matrix

Minor of the matrix

Rank of a matrix

if in a matrix , the number if rows is the same as the number of columns, it is called.

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Singular matrix

Non singular matrix

Square matrix

Column vector

The function y = 2x + 1 and x = 1/2 y - 1/2 are said to be.

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Non linear functions

Inverse functions

Step functions

All the above

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