Question # 1

If any ultimate class frequency is negative the data will be

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inconsistent

consistent

correlated

composite

Statistical inference has two branches namely:

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Level of confidence and degrees of freedom

Biased estimator and unbiased estimator

Point estimate and interval estimate

Estimation of parameter and testing of hypothesis

The value of coefficient of association lies between

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0 and + 1

-1 and + 1

-1 and 0

-0.5 and + 0.5

The normal distribution is a bell shaped_______ distribution.

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Discrete

Continuous

Symmetrical

Skewed

In the measurement of secular trend the moving averages:

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Give the trend in a straight line

Measure the seasonal variations

Smooth out a time series

None of these

1 kb = _____________ bytes

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10

100

1000

10,000

The _______ regression line always passes through (X̅, y̅).

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Opposite

Estimated

Estimates

Random

The probability associated with confidence interval is called:

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Level of confidence

Confidence coefficient

Both A and B

Confidence limits

If Ho:π >πo , H1:π <πo and level of significance is=α then Ho will be rejected if

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Z < Z=α

Z=α/2 < Z

Z > Z1-α

Z < Z1-α

___________ is a set of electronic instructions:

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Hardware

Software

Hard disk

Compact disk

CD-ROM is a type of

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hard disk

soft disk

floppy disk

optical disk

If the observations are paired and the number of pairs is n, then the number of degree of freedom is equal to

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n

n - 1

2n

2n - 1

The descriptive measure on the sample observation is called ------------------

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parameter

statistic

error

true value

In a straight line equation Y = a + bX; a is the:

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X - intercept

Slope

Y- intercept

None of them

The S.D of the sampling distribution of a statistics is called _______.

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Standard error

Serious error

Dispersion

Difference

The variable that forms the basis of estimation is called

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regression

regressand

regressor

correlation

The two attribute A and B are positively associated, if _________.

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(AB) = (A)(B)/n

(AB) < (A)(B)/n

(AB) ≠ (A)(B)/n

(AB) > (A)(B)/n

For a least squares linear trend=ŷ= a + b x,

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Σy <Σŷ

Σŷ = 0

Σy =Σŷ

none of these

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