Question # 1

For a binomial probability distribution:

n = 10 & the probability of failure (q =0.6), then mean of the distribution is .

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0.6

6.0

10

4

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

Random number can be generated manully by

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Dawing cards from numbered cards

Roitaing or spinning numbered wheels

Use of random numbers table

All of these

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)

The binomial distribution deal with:

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Discrete variable

Continuous variable

None of these

Its value cannot be exactly examined.

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Ranodm variable

Fixed varaible

Mathematical variable

Variable

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

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One

Two

Three

Four

A fair coin is tossed four times the probability of getting four heads is

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1/4

1/2

4/6

1

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

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Variance

B.D.

Mean

Co - Variance

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)

Each trial of binomial experiment results in an outcome which can be classified in two categories

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Head or tail

Ace or six

Success and failure

None of these

Random numbers can be generated

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Manually

Mechanically

Botha a and b

None of these

Binomial distribution is used when n is

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Large

Small

Negative

Zero

the discrete probability distributio may be represented by.

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A table

A graph

A mathematical equation

All 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

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

The probability of success ------------ from one trial to another when trials are dependent

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Remains constant

Is changed

One

Zero

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

The binomial distribution has the following parameters.

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p & q

n & q

n, p & q

None of these

In binomial experiment successive trials are:

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Dependent

Independent

May be independent or dependent

None of these

If x is discrete random variable, then the function f (x) is.

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A probability function

A density function

A probability density function

A distribution function

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

Hypergeometric distribution is a

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Continuous distribution

Discrete distribution

Simple distribution

Normal distribution

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