Question # 1

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

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Binomial distribution

Hypergeometric distribution

Both of the above

None of these

If all the value of have equal importance,then we have to assigned certain values is such index number are called.

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Weighted index number

Un-weighted index

Both A and B

Average

If all values considered in calculating an index are of equal importance, the index is

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Weighted

Simple

Un weighted

None of these

For an open and distribution, without assuming certain limits it is not possible to find:

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A.M

G.M

Median

Boat A and B

If the third moment about mean is zero ( m3 = 0) , then the distribution is.

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Mesokurtic

Positively skewed

Symmetrical

Negatively skewed

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

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E(y)

[E(y)]²

E(y)²

E² (y)

Teh range of the value -2, -4, -6 and -8 is.

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-6

6

-10

-4

The sum of squared deviation is minimum, when deviation are taken form

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Mean

Median

Mode

None of these

Which one of the following is not effected by extreme values

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mean

median

mode

both (a) and (b)

Data used by an agency which orginally collected them are.

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Primary data

Raw data

Secondary data

Grouped data

The numebr 143.9500 rounded off to nearest tenth is.

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143.9

144.0

143.0

144

If the occurance of one event is not effected by the occurance of other than these events are called

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Dependent

Independent

Simple

Compound events

The Area of trapezoid is equal to:

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sum of paralled sides x base

sum of paralled sides x base/2

2 x base x sum of paralled side

Sum of paralled sides x base/4

Paasche's index is also called

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Consumer price index

Current year price

Simple index

Cost of consumption

The distribution is symmetrical if the moment coefficient of skewense b1 is.

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Negative

Postive

3

0

Commodities subject to considerable price variation should best be measured by

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Quantity index

Price index

Value index

None of these

Which of the following average is effected by extreme values.

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Median

Mode

Arithmetic mean

All of these

In binomial distribution it is impossible to find

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P(x L)

P(x=0)

P(x > 0)

P(0≤ x≤∞)

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