Question # 1

Which of the following is a relatie measure of dispersion.

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Standard deviation

Variance

Coefficient of variation

All of these

For a moderately skewed dsitribution, whihc of the following emprical formula holds.

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M.D. = 4/5(S.D)

Q.D. = 2/3 (S.D)

Q.D . = 5/6 (M.D.)

All of these

The mean deviation can never be

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Positive

Negative

Zero

None of these

Why is it necessary to square the difference from the mean when computing the standard deviation.

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So that the extreme values will not affect the calculation

Some of the differnece will be positive and some will e negative

It can change drastically from one data set to the next

It is determined by only two points in the data set

Which of the following statements is correct.

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Every symmetrical curve is measokurtic

Standard deviation is the mean squared deviations from the mean

The standard deviation of a constant is constant

Teh second moment about zero equals variance.

Which set has teh maximum varaition?

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46,48,50

30,40,50

40,50,60

48,48, 49

The positive square root of the mean of the squares of deviations of values from their mean is

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Variance

Covariance

Standard deviation

Standard error

The variance of 5,5,5,5,5 is.

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0

25

5

125

In symmetrical distribution if Q1 = 4, Q3 = 12 then median is.

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4

6

8

zero

In a skewed distribution the three averages man, median & mode are.

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identical

different

0

equal 1

In the grouped data , the range is the difference between.

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Two extreme class frequency

Two extreme class limits

Tow extreme class boundaries

None of these

First central moment is always.

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0

1

-1

2

The variance expresses the variability of data in ................ as unit of data.

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Square of unit

Squaare root of unit

Same unit

All of these

Moment ratios b1 and are.

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Expressed in original unit of the data

Dimensionless quantities

Independent of origin and scale of messurement

Both b and c

If X and Y are independent, than Var ( X -Y) is equal to.

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Var (X) + Var (Y)

Var (X) - Var (Y)

Var (X+ Y)

Zero

Co-efficent of standard deviation can be measured by the following formula

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Lack of symmetry is called

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Kurtosis

Skewness

Normality

All of them

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Statistics Ics Part 1 Chapter 4 Online Test MCQs With Answers

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