Question # 1

Commodities subject to considerable price variation should best be measured by

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Quantity index

Price index

Value index

None of these

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

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KY

K² Var(Y)

K²Var (Y)

None of these

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

Geometric mean of the relative is.

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Reversible

None - Reversible

Both A and B

None of these

The parameters of hypergeometric distribution are:

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n,k & p

n, k & q

n, p & q

n, k & N

ⁿC_r is calculated by formula

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The variable that takes numerical value is called______ variable.

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Quantitative

Primary

Qualitative

None of these

The bionomial distribution is negatively skewed if.

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p < 1/2

p = 1/2

p > 1/2

p = 1

The bionomial probability distribution is symmetrical when

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p = q

p < q

p > q

np > npq

the base period can be described as a normal period if

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it is neither the peak nor the trough of a fluctuation

It is the most recent period for which we have data

It is the average of several consecutive pariods

None of these

If Laspeyres index = 104.5, Paasche's index = 107.9, then, Fisher's ideal index is equal to:

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100

104.1

106.2

110.2

Which of the following is a relatie measure of dispersion.

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Standard deviation

Variance

Coefficient of variation

All of these

When we draw the sample with replacement (the first sample is replaced before the next draw), the probability distribution to be used is:

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Binomial

Hypergeometric

Both Binomial & hypergeometric

None of these

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

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3/8

1/2

1/8

1/4

The value of quartile deviation is always

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Positive

Zero

Negative

None of these

If x̅ = 10 and Y = 5 +2x, then Y̅ is.

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5

10

25

15

Which ofthe following methods uses quantities consumed in the current period when computing a weighted index.

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Laspeyres method

Marshall -Edge worth's methods

Peasche's method

Fisher's method

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

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Mesokurtic

Positively skewed

Symmetrical

Negatively skewed

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