Question # 1

For a given binomial distribution with a fixed,if p < 0.5 , than

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The binomial distribution will be skewed to the left.

The binomial distribution will be skewed to the right

The binomial distributio iwll be symmetric

None of these

N-K is classified as

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Success

Failures

Parameters

Range

Index number of the year text to the base year can be shown as

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Q_n

Q_on

Q₀₁

Q_oi

Coefficient of variation (C.V) is given below

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Mean /S.D x10

Mean/S.D x 100

S.D/Mean x 100

S.D/ Mean

The distribution is measokurtic if the moment coefficient of of kurtosis b2 is.

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Equal to 0

Equal to 3

Less than 3

Greater than zero

If an unweighed average of revalives index pn/po x 100 is calculated for each product in the compostive, what is then done with these values to finish the calculation.

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The values are multiplied together.

The largest values is found

The valeus are averaged

None of them

The sum of probabilities of events of a sample space is always.

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Equal

Discrete

Continuous

Always greater then oen

For a certain distribution if Σ(x -10) = 5, Σ(x -20) =18 & Σ(x -15) = 0 then the value of Σ is.

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10

15

20

25

Statistics must be

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Comparable

Not comparable

Qualitative only

NOne of these

The variable that takes numerical value is called______ variable.

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Quantitative

Primary

Qualitative

None of these

F(-∞) is always equal to.

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Zero

One

Two

Negative one

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

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Laspeyres' method

Paache's method

Fisher's method

Marshall -Edge worth's method

The life time of fans, data is.

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Discrete

Continuous

Unchanged

Qualitative

The sum of absolute deviations is a minimum if these deviations are taken from the

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Mean

Mode

Median

All of these

Standard deviation is always calculate form:

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Mean

Median

Mode

All of the above

The percentage of observations lying within the items X + 3S in the normal distribution.

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68.26%

95.44%

70.00%

99.75%

If x and y are independent random variables, E(xy)

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E(XY)

xE(y)

E(XY)

E(X) . E(Y)

The probability of getting two red balls with replacement from a bag containing 4 red, 3 white and 3 black balls is.

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4/25

1/25

9/100

2/25

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