A ________ may be finite or infinite according as the number of observations or items in it is finite or infinite.

(a)

Population

(b)

census

(c)

parameter

(d)

none of these

A __________ of statistical individuals in a population is called a sample.

(a)

Infinite set

(b)

finite subset

(c)

finite set

(d)

entire set

A finite subset of statistical individuals in a population is called ________.

(a)

a sample

(b)

a population

(c)

universe

(d)

census

Any statistical measure computed from sample data is known as _________.

(a)

parameter

(b)

statistic

(c)

infinite measure

(d)

uncountable measure

A _______is one where each item in the universe has an equal chance of known opportunity of being selected.

(a)

Parameter

(b)

random sample

(c)

statistic

(d)

entire data

A random sample is a sample selected in such a way that every item in the population has an equal chance of being included ______.

(a)

Harper

(b)

Fisher

(c)

Karl Pearson

(d)

Dr. Yates

Which one of the following is probability sampling

(a)

purposive sampling

(b)

judgment sampling

(c)

simple random sampling

(d)

Convenience sampling

In simple random sampling from a population of N units, the probability of drawing any unit at the first draw is  ______.

(a)

\(\frac{n}{N}\)

(b)

\(\frac{1}{N}\)

(c)

\(\frac{N}{n}\)

(d)

1

In ________ the heterogeneous groups are divided into homogeneous groups.

(a)

Non-probability sample

(b)

a simple random sample

(c)

a stratified random sample

(d)

systematic random sample

Errors in sampling are of  ______.

(a)

Two types

(b)

three types

(c)

four types

(d)

five types

The method of obtaining the most likely value of the population parameter using statistic is called ______.

(a)

estimation

(b)

estimator

(c)

biased estimate

(d)

standard error.

An estimator is a sample statistic used to estimate a  ______.

(a)

population parameter

(b)

biased estimate

(c)

sample size

(d)

census

_______ is a relative property, which states that one estimator is efficient relative to another.

(a)

efficiency

(b)

sufficiency

(c)

unbiased

(d)

consistency

If probability \(P[|\hat{\theta}-\theta|<\varepsilon] \rightarrow 1\) as \(n \rightarrow \infty\), for any positive \(\varepsilon \) then \(\hat{\theta}\) is said to ________ estimator of \(\theta\).

(a)

efficient

(b)

sufficient

(c)

unbiased

(d)

consistent

An estimator is said to be ________ if it contains all the information in the data about the parameter it estimates.

(a)

efficient

(b)

sufficient

(c)

unbiased

(d)

consistent

An estimate of a population parameter given by two numbers between which the parameter would be expected to lie is called an………..interval estimate of the parameter.

(a)

point estimate

(b)

interval estimation

(c)

standard error

(d)

confidence

A ________ is a statement or an assertion about the population parameter.

(a)

hypothesis

(b)

statistic

(c)

sample

(d)

census

Type I error is  ______.

(a)

Accept H₀ when it is true

(b)

Accept H₀ when it is false

(c)

Reject H₀ when it is true

(d)

Reject H₀ when it is false.

Type II error is  ______.

(a)

Accept H₀ when it is wrong

(b)

Accept H₀ when it is true

(c)

Reject H₀ when it is true

(d)

Reject H₀ when it is false

The standard error of sample mean is  ______.

(a)

\(\frac { \sigma }{ \sqrt { 2n } } \)

(b)

\(\frac { \sigma }{ { n } } \)

(c)

\(\frac { \sigma }{ \sqrt { n } } \)

(d)

\(\frac { { \sigma }^{ 2 } }{ \sqrt { n } } \)