Question # 1

The measures of strength of closeness of linear relationship between two variables is called

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simple linear regression

composite linear regression

simple linear correlation

composite linear correlation

A quantitative statement about a population is called:

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Research hypothesis

Composite hypothesis

Simple hypothesis

Statistical hypothesis

A characteristic which varies in quality form one individual to another is called

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variable

constant

attribute

none of these

The least squares estimates are unbiased estimates of the

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statistic

time series

parameters

variance

If any ultimate class frequency is negative the data will be

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inconsistent

consistent

correlated

composite

The most common type of computer memory is called:

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ALU

ENIAC

RAM

ROM

Is sampling without replacement, an element can be chosen:

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Less than once

More than once

Only once

Difficult to tell

Estimation is of two types:

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One sides and two sides

Type I and type II

Point estimation and interval estimation

Biased and unbiased

The normal distribution is a _______.

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Positive

Negative

Discrete

Continuous

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

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Opposite

Estimated

Estimates

Random

The alternative hypothesis always contains the sign of

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equality

inequality

ratio

proportion

Hypothesis that does not completely specify the underlying population distribution is called

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simple hypothesis

dual hypothesis

composite hypothesis

common hypothesis

Regression line x on y is

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RAM is called

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primary storage

secondary storage

tertiary storage

tetra storage

When the expected frequencies are very small the value of=χ2has been

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adjusted

omitted

changed

all of these

Types of statistical inferences are

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one

two

three

four

A set of points in a rectangular coordinate system, where each point represents an observed pair of values is called

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least square regression

scatter diagram

pie graph

regression coefficient

The two attributes A and B are negatively associated if

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