Question # 1

if X and Y are independent random varaibesl the S.D. (X-Y) is equal to

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Var (X) - var (Y)

Var (X) + Var (Y)

E(X-Y)2

E(X + Y)2

In binomial distribution, the random variable has a range:

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0,1,2...................n

0,1,2,......+∞

-∞ to +∞

∞ to +0

The probability of even/odd number when a fair die rolled is:

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1/6

2/6

1/36

3/6

The hypergeometric distribution has -------------- parameters

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One

Two

Three

Four

If x is a continuous random vriable, then the function f (x) is.

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A probability function

A probability denaity function

A density function

Both b and c

Probility density function is the probebilyt function of.............. random variable.

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Discrete

Qualitative

Continuous

None

Hypergeometric distribution is a

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Continuous distribution

Discrete distribution

Simple distribution

Normal distribution

An expected value of a random variable is equal to its.

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Variance

B.D.

Mean

Co - Variance

The binomial distribution is symmetrical when:

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P > q

p = 1/2

Probability of success & probability of failure are equal

Both (B) and (C)

When x denotes the number of success in binomial experiment it is called.

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Random variable

Binomial random variable

Continuous random variable

Both (B) and (C) but not (A)

If C is a non -random variabe than E (C) is.

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c

0

1

x

N-K is classified as

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Success

Failures

Parameters

Range

The binomial distribution deal with:

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Discrete variable

Continuous variable

None of these

If X and Y are random varaibes, than E ( X - Y) is equal to.

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E(X) + E (Y)

E(X) - E(Y)

X - E (Y)

E(X) - Y

The parameters of hypergeometric distribution are:

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n,k & p

n, k & q

n, p & q

n, k & N

If we do not replace the draw cards back into the pack before the next draw, the used probability distribution will be:

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Binomial

Hypergeometric

Both binomial & hypergeometric

None of these

Which of the following is true for binomial distribution

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Mean > variance

Mean < variance

Mean = variance

Mean + standard deviation

The parameters of the binomial distributions are

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x and n

x and p

p and q

n and p

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