Question # 1

An automobile is driven on the average on more than 1600 kilometers per year, the null hypothesis is

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H_o : μ = 16000 kilometers

H_o : μ ≤ 16000 kilometers

H_o : μ < 16000 kilometers

H_o : μ > 16000 kilometers

Which one is called as a set of electronic instructions ?

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hardware

software

hardcopy

softcopy

The difference of the true value of population parameter and corresponding value of sample statistic is called

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non-sampling error

sampling error

random error

none of these

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

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X - intercept

Slope

Y- intercept

None of them

The relationship that describes the dependence of the expected value of the dependent random variable for a given value of the independent non-random variable is called

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equation

relation

ratio

regression

A process by which we estimate the value of dependent variable on the basis of one or more independent variable is called_________.

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Residual

Correlation

Regression

Slope

r_xy -------------- r_yx

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=

<

>

≠

The hypothesis which is tested for possible rejection is called

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common hypothesis

null hypothesis

alternative hypothesis

wrong 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 critical region of=χ2distribution is

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χ2 <χ2v; 1-α

χ2 <χ2v;1-α

χ2 <χ2 v;1-α/2

χ2 <χ2v;1-α/2

Another name of probability sampling is

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quota sampling

simple sampling

stratified sampling

random sampling

The first commercially available computer was:

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ENIAC

UNIVAC

Mark I

Analytical engine

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

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Sampling error

Standard error

Bias

Error of estimation

The process of dividing the objects into two mutually exclusive classes is called_______

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Bichotomy

Trichotomy

Dichotomy

Multichotomy

P(type I error) is equal to:

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1 - α

1 - β

α

β

The shape of the chi-square distribution depends upon_________.

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Parameters

Number of cells

Degrees of freedom

Standard deviation

If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula

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Confidence intervals which are often used in practice are

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90%

95%

98%

all of these

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