Question # 1

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 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)

If the random variable X denotes the number of heads when three distinet coins are tossed,then X assumes the value.

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0.1.2.3

1,3,3,1

1,2,3

None 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)

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

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1/6

2/6

1/36

3/6

If X and Y are independent random variables , the E (XY) is equal to.

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E(XY)

E(X) E(Y)

XE(Y)

YE(X)

The probabilyt density function p (x) cannot exced.

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zero

One

Mean

Infinity

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

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

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1

4

0

8

Which of the following distribution(s) has 3 parameters.

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Binomial distribution

Hypergeometric distribution

Both of the above

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 repeated trials of binomial experiments are

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Dependent

Independent

Fixed

Variable

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

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1/3

1/6

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)

The parameters of the binomial distributions are

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x and n

x and p

p and q

n and p

N-K is classified as

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Success

Failures

Parameters

Range

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Statistics Ics Part 1 Chapter 8 Online Test MCQs With Answers

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