Question # 1

Events with equal probabilities are called.

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Mutually exclusive events

Exhauative events

Eqauily likely events

Simple events

Probability distribution of a continuous random variable can be presented by

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tabular form

Formula

Curve

None of these

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

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a

Square of a

Zero

2a

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

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0

1

13

15

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

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3/8

1/2

1/8

1/4

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4/10

2/10

1/10

0

Which of the following is suitable for discrete probability distribution.

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Frequency polygon

Probability

Ogive

Histogram

Hourly temperature recorded by weather brave is the example of:

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Discrete variable

Continuous variable

Qualitative

Both A and B

Is the tossing of two perfect coins the probability at least one head occur is.

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1/4

1

1/2

3/4

If a Vann diagram is drawn for events A and B which are mutually exclusive, which f the folloiwng would always be true of A and B.

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Theire parts of the rectangle will overlap

Their parts fo the rectangle will be equal in area

Their parts of the rectangle will not overlap

None of these

The probability of getting an odd number when a balanced die is rolled is.

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1/2

1/3

1/4

1/6

When a die and a coin are rolled together all possible outcomes are.

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2

6

12

36

If mean = 25 and variance is also 25, then coefficient of variation is

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100%

25%

20%

10%

The probability of drawing a king of spade from a pack of 52 cards is.

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1/4

1/13

1/26

1/52

The simplest form of the continuous distribution is the.

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Skewed distribution

Kurtic distribution

Binomial distribution

Uniform distribution

F(y₁) ≤ F(y₂) if

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y₁= y₂

Y₁>y₂

y₁≤y₂

y≥1/2

F(-∞) is always equal to

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Zero

One

Two

Negative one

If the random variable x denotes the number of heads when three distinct coins are tossed, the x assumes values

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0, 1, 2, 3

1, 3, 3, 1

1, 2, 3

None of these

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Statistics Ics Part 1 Chapter 7 Online Test MCQs With Answers

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