Question # 1

If the chance of occurance of two events are same then such events are called

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Independent events

Dependent events

Mutually exclusive events

Equally likely events

If p = q = 1/2 then distribution is called.

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Postively

Skewed

Symmetrical

Negatively

⁴C₅= ....................

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5

1/5

0

None of these

Co-efficent of quartile deviation can be calculated by the following formula

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A person can choose a tie and a suit form 3 suits ad 5 ties in

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8 ways

15 ways

30 ways

None of these

In pie diagram, the sector of a circle is obtained by.

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Component part / total x 300

Component part / total x 180

Component part / total x 360

None of these

A disadvantage of range is that it is based on.

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Absolute deviation

Square deviation

Two extreme observation

Upper and quartile

E(x - μ) is equal to:

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E(x)

zero

μ

X - μ

Subset of sample is called:

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Event

Simple event

Compound event

Experiment

Which one of the following is not effected by extreme values

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mean

median

mode

both (a) and (b)

If E a and impossible event, then P(E) is.

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0

0.5

1

Impossible

E(X ± Y) =..............

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E(X) + E(Y)

E(X) - E (Y)

E(x) ± E (Y)

None of these

For the given data 2,3,7,0,-8 G.M will be.

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Negative

Positive

Zero

Impossible

An arrangement of data to show the frequency of occurrence is called.

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Freqeuncy distribution

Probability distribution

Data array

Cumulative distribution

In which distribution the successive trials are without replacement.

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Hypergometric distribution

Bionomial dristribution

Continuous distribution

None of these

Which of the following measures of dispersion is independent of the units employed.

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Standard deviation

Quartile deviation

_{Coefficient of variation}

Variance

The number 136.500 rounded off to nearest unit is.

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136

137

136.5

136.0

Which of the following can never be described by a binomial distributions.

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The number of difective items produced by an assembly process

The amount of water used by a single housheld

the numebr of students in the class who can answer this questions

All of these can always be described by a binomial distribution

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