Question # 1

Which of the following cannot be probability of an event.

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0

1

0.32

1.00

Var (KY) = ......................

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KY

K² Var(Y)

K²Var (Y)

None of these

Tossing two dice possble sampes are.

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2

6

12

36

If the random variable x denotes the number of heads when three distinct coins are tossed, the x assumes values

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0, 1, 2, 3

1, 3, 3, 1

1, 2, 3

None of these

The simplest form of the continues distribution is the

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Skewed distribution

Kurtic distribution

Binomial distribution

Uniform distribution

Waht is the probability that a ball drawn at random from the bag is.

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0.1

0.4

1.0

Cannot be determined from given information

When two coins are tossed simultaneously, P (one head ) is.

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1/2

1/4

3/4

1.0

If a Vann diagram is drawn for events A and B which are mutually exclusive, which f the folloiwng would always be true of A and B.

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Theire parts of the rectangle will overlap

Their parts fo the rectangle will be equal in area

Their parts of the rectangle will not overlap

None of these

The probability of getting two red balls with replacement from a bag containing 4 red, 3 white and 3 black balls is.

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4/25

1/25

9/100

2/25

The probability of a continuous random variable at x = a is ---------------

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One

Zero

Between 0 and 1

More than one

For a constant K ,the variance of K.

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Zero

A^-2

K

None of these

Random variable is also called ___________.

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Chance stochasitc

Coverges

Random

None of these

Which is the impossible event when a dice is rolled.

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5 or 6

6 or 7

2 or 3

1

F(-∞) is always equal to.

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Zero

One

Two

Negative one

Variance σ²is equal to E(y²) - --------------------

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E(y)

[E(y)]²

E(y)²

E² (y)

The probability distribution of discrete random variable is called is

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Frequency distribution

Probability distribution

Probability mass function

Both (a) and (b)

E(x) = Σxf(x) if it ________ absolutely.

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Equal

Converges

Discrete

None of these

If one event is unaffected by the outcome of another event, the two events are said to be

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Dependent

Independent

Mutually exclusive

Both b and c

For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to.

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9

70

19

None of these

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