Question # 1

The probabilyt density function p (x) cannot exced.

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zero

One

Mean

Infinity

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

Random numbers are generated from the single digit numbers.

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{ 1,2,3,............. 10 }

{ 0, 1,2,.......................... 10}

{ 0,1,2.............}

{0,1,2,............. 9}

A copntinuous probability distribution may be represented by.

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A table

a graph

A mathmethical equation

Botha b and c

Binomial distribution is used when n is

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Large

Small

Negative

Zero

The probabilyt that a continous random varaibe 'x ' takes on specific value of x is.

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Greater thaan zero

Less than zero

Equal to Zero

0 to 1

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

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c

0

1

x

Mean, Median and mode of binomial distribution can be equal if

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P < q < 1/2

P > q < 1/2

P ≠ q

If (E(X) = E than find arithmetic means will be.

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1

4

0

8

Its value cannot be exactly examined.

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Ranodm variable

Fixed varaible

Mathematical variable

Variable

The probability of success changes from trial to trial, is the property of:

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Binomial experiment

Hypergeometric experiment

Both A and B

None of these

The binomial distribution has the following parameters.

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p & q

n & q

n, p & q

None of these

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

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Variance

B.D.

Mean

Co - Variance

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

In a discriete probability distribution the sum of all the probabilities is alwyas

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0

1

-1

8

The expected value of a discrete random variable is.

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Always an integer

Always one of the values that the random variable can assume

An interal of values

None of these

The parameters of the binomial distributions are

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x and n

x and p

p and q

n and p

A fair die is rolled three times. The probability of getting three "aces" is

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1/3

1/6

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

Random numbers can be generated

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Manually

Mechanically

Botha a and b

None of these

Hypergeometric distribution is a

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Continuous distribution

Discrete distribution

Simple distribution

Normal distribution

Which of the following case is true for hypergeometric distribution.

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Probability remains constant for all trials

Probability changes

successive trials are dependent

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

the discrete probability distributio may be represented by.

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A table

A graph

A mathematical equation

All of these

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