The concept of population and sample are to be understood clearly as they have significance role in the context of statistics.

**Population:**

The concept of population and sample are to be understood
clearly as they have significance role in the context of statistics.

The word population or statistical population is used for
aggregate of all units or objects within the purview of enquiry. We may be
interested in the level of education in a college of Tamil Nadu. Then all the
students in the college will make up the population. If the study is aimed to
know the economic background of Hr. Secondary students of a school, then all
the students studying +1 and +2 classes of that school is the population. The
population may contain living or non-living things. All the flowers in a garden
or all the patients in a hospital are examples of populations in different
studies.

A population is called finite if it is possible to count or
label its individuals. It may also be called a Countable Population. The number
of vehicles passing in a highway during an hour, the number of births per month
in a locality and the number of telephone calls made during a specific period
of time are examples of finite populations. The number of units in a finite
population is denoted by N and is called the size of the population.

Sometimes it is not possible to count or label the units
contained in the population. Such a population is called infinite or
uncountable. The number of germs in the body of a sick patient is uncountable.

Sampling from a finite population will be considered in the rest
of the chapter. Sampling from an infinite population can be handled by
considering the distribution of the population. A random sample from an
infinite population is considered as a random sample from a probability
distribution. This idea will be used when we study testing of significance in
the second year.

Tags : Collection of Data and Sampling Methods | Statistics , 11th Statistics : Chapter 2 : Collection of Data and Sampling Methods

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11th Statistics : Chapter 2 : Collection of Data and Sampling Methods : Population | Collection of Data and Sampling Methods | Statistics

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