Question # 1

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

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KY

K² Var(Y)

K²Var (Y)

None of these

Which one is not an example of random experiments.

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A coin is tossed and the outcome is either a head or a tail

A six sided aid is rolled

All medical insurance clams received by a company in a given year.

Some one of person will be admitted to a hospital emergency room during any hour.

Var (3x + 2)

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3 Var(X) + 2

3 Var X

9 var (x) + 2

9 var (x)

Var (3x+2)

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3Var(x) + 2

9Var(x) +2

Var (x) + 0

3Var (X)

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

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1/2

1/4

3/4

1.0

If a is a constant then E(a) is equal to

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a

Square of a

Zero

2a

When three coins are tossed simulatneously, P(3 heads) is.

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3/8

1/2

1/8

1/4

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)

A random variable is also called.

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Chance variable

Stochastic variable

Discrete variable

Both A and B

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

The simplest form of the continues distribution is the

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Skewed distribution

Kurtic distribution

Binomial distribution

Uniform distribution

If x and y are independent random variables, then E(xy)

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E(xy)

xE(y)

E(x)

E(x)E(y)

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

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One

Zero

Between 0 and 1

More than one

Why are the outcomes of a coin tossing mutually exclusive.

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The outcome of any toss is not affected by teh outcome of those preceding it.

Both a head and a tail cannot turn up on any one toss

The probability of getting a head and the probability of getting a tail is the same.

All of these

E(x - μ) is equal to:

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E(x)

zero

μ

X - μ

F (+∞) is always equal to:

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0

Two

One

None of these

E(X ± Y) =..............

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E(X) + E(Y)

E(X) - E (Y)

E(x) ± E (Y)

None of these

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Statistics Ics Part 1 Chapter 7 Online Test MCQs With Answers

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