Question # 1

Mean deviation is always.

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Less then S.D

Equal to S.D

More than S.D

Negative

For symmetrical distribution mega 3 is.

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zero

1

2

3

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

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

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-6

6

-10

-4

The main advantages of using the range as a measure of dispersion is that.

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It is easy to calculate

It is heavily influenced by extreme values.

It can change drastically from one data set to the next

It is determined by only two points in the data set

If Q3 = 20 and Q1 = 10 the coefficient of quartile deviation is.

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3

1/3

2/3

1

In a symmetrical distribution, the coefficient of skewness will always be.

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Negative

zero

1

-1

If Y=X + A , trhe range of Y =

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Range (X)

Range (X) + A

Zero

A

The S.D. of 8,8,8,8,8, is.

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8

(8)²

zero

5

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

Quartile Co-efficient of skewness is also called as

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Median co-efficent of skewness

Pearson's 1st co-efficient of skewness

Pearson's 2nd co-efficient of skewness

None of these

The difference between largest and smallest observation is called

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Interval

Class interval

Range

Difference

The types of dispersion are.

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2

3

4

5

A data having least C.V is considered more__________.

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Consistent

Skewness

Equidistant

None of these

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

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4

6

8

zero

Relative depression is of types.

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1

4

3

2

For symmetrical distributions the values of co-efficent of skewness is

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Negative Number

Positive Number

Imaginary Number

Pure Number

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Statistics Ics Part 1 Chapter 4 Online Test MCQs With Answers

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