Question # 1

The Level of ------------- of test is the maximum probability with which we are willing to a risk of type -I error

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correction

error

significance

statistics

Level of significance is denoted by

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2 - α

3 - α

α

1 - α

The distance between an estimate and the estimated parameter is called:

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Sampling error

Standard error

Bias

Error of estimation

The total area under the curve of chi-square distribution is_______.

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1

0.5

0 to ∞

-∞ to +∞

ŷ=a+bx, this line will be called least squares line if it makes=Σ(y-a-bx)2

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maximum

constant

minimum

variable

For an r x c contingency table, the number of degrees of freedom are equal to:

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rc

r + c

(r-1)+(c-1)

(r-1)(c-1)

The alternative hypothesis is also called:

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Null hypothesis

Statistical hypothesis

Research hypothesis

Simple hypothesis

Sampling in which a sampling unit can be selected more than once is called

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simple sampling

sampling with replacement

sampling without replacement

none of these

The secular trend is measured by the method of semi-averages when:

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Time series contains yearly value

Trend is linear

Time series contains odd number of values

None of them

1 kb = _____________ bytes

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10

100

1000

10,000

If the population is finite, the standard error of mean is given by:

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σ/√n

σ/√n √N - n/ N-1

σ/√n √N -1/N-n

σ/√ √1 - n /N

A statement about the value of a population parameter is called:

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Null hypothesis

Alternative hypothesis

Simple hypothesis

Composite hypothesis

The normal distribution is --------------------distribution.

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positively skewed

negatively skewed

symmetrical

peaked

A complete computer system has________ parts.

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2

3

4

5

A population is called _______ if it includes an unlimited number of sampling units.

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Finite

Infinite

Statistic

None of these

The choice of one-tailed test and two tailed test depends upon:

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Composite hypothesis

Null hypothesis

Alternative hypothesis

Simple hypothesis

A numerical characteristic calculated from sample is called:

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Sample unit

Sample design

Statistic

Parameter

The least squares estimates are unbiased estimates of the

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statistic

time series

parameters

variance

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