Question # 1

The probability of an impossible event is.

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Positive

Zero

Negative

1

The simplest form of the continuous distribution is the.

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Skewed distribution

Kurtic distribution

Binomial distribution

Uniform distribution

If x is a random variable with E(x) = 5 then E(3x - 2) =

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0

1

13

All of them

the term 'event' is used for.

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Time

Subaet of the sample space

Total number of outcomes

Probability

Variance σ²is equal to E(y²) - --------------------

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E(y)

[E(y)]²

E(y)²

E² (y)

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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y₁ = y₂

Y₁ > y₂

None of these

For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to.

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9

70

19

None of these

F(-∞) is always equal to

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Zero

One

Two

Negative one

If two coins are tossed, the probability of getting one head and one tail is.

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1/4

2/4

3/4

2/3

E(Y2) -[E(y)]2 is the formula, and to compute.

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Variance of the random variable

Mean of the random variable

Both A and B

None of these

If x is a random variable with E(x) = 5 then E (3x - 2) =

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0

1

13

15

Which of the following cannot be probability of an event.

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0

1

0.32

1.00

For a constant k, the variance of k is

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zero

k²

k

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.

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

Which of the following is suitable for discrete probability distribution.

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Frequency polygon

Probability

Ogive

Histogram

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)

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Statistics Ics Part 1 Chapter 7 Online Test MCQs With Answers

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