The standard error of sample mean is  ______.

Type II error is  ______.

Type I error is  ______.

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

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.

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

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 \(\theta\).

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

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

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

Errors in sampling are of  ______.

In ________ the heterogeneous groups are divided into homogeneous groups.

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

Which one of the following is probability sampling

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

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

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

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

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