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

A hypothesis that specifies all the value of parameter is called:

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Statistical hypothesis

Simple hypothesis

Composite hypothesis

None of these

The mean deviation (M.D) of a normal distribution is ________.

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4/5 σ

5/4 σ

2/3 σ

None of these

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

A statistical hypothesis is an assertion or conjecture about the distribution of random variables

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one

two

one or more

three

The rise and fall of a time series periods longer than one- year is called.

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Secular trend

Seasonal variation

Cyclical variation

Irregular variation

μ - 2σ to=μ + 2σ contains approximately_______ area.

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75%

50%

95.45%

99.73%

The probability density function has ------------------ value for every value of x.

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negative

positive

minimum

maximum

Types of statistical inferences are

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one

two

three

four

The least squares estimates are unbiased estimates of the

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statistic

time series

parameters

variance

Super computers can process million of instructions:

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Per second

Per microsecond

Per minute

Per hour

If mean of the sampling distribution is equal to the parameter then the estimator will be

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biased

consistent

sufficient

unbiased

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

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time series contains yearly values

trend is linear

time series contains odd number of values

none of these

The population must be defined in terms of

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content

unit

extent

all of these

The method of least square gives too much weight to extremely large deviations from the

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population

parameter

sample

trend

For normal distribution mean always lies between.

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Median and mode

Median and Q₁

Median and Q₃

None of these

The variable, whose resulting value depends upon the selected value of the independent variable is called______.

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Regression

Regressor

Regressand

Coefficient

In normal distribution.

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Mean > median > mode

Mean = median = mode

Mean < median < mode

None of these

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Statistics Ics Part 2 Online Test MCQs With Answers

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