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In other words, sample should represent the population with fewer but sufficient number of items. A proper definition or specification of the population is critical because it guides others in appraising the credibility of the sample, sampling technique(s) and outcomes of the research. Examples ... process of drawing conclusions about an entire population based on a sample from it [8]. Many Countries do a regular census. Understanding the difference between a given population and a sample is easy. The size of a sample is always less than the size of the population from which it is taken. The characteristic of population based on all units is called parameter while the measure of sample observation is called statistic. In other words, the population whose unit is available in solid form is known as existent population. Population and Sample are two important terms in the subject ‘Statistics’. Example: The population may be "ALL people living in the US." All the people who have the ID proofs is the population and a group of people who only have voter id with them is the sample. And they sampled a hundred of them. The population of tax payers in India. With population, the focus is to identify the characteristics of the elements whereas in the case of the sample; the focus is made on making the generalisation about the characteristics of the population, from which the sample came from. It includes all the elements from the data set and measurable characteristics of the population such as mean and standard deviation are known as a parameter. This means that it is calculated from only some of the individuals in a population. Your email address will not be published. Population vs. There are different types of population. The population of motorcycles produced by a particular company. All the people who have the ID proofs is the population and a group of people who only have voter id with them is the sample. This means that it is calculated from only some of the individuals in a population. A statistical population is a set of entities from which statistical inferences are to be drawn, often based on a random sample taken from the population. As an analogy, you can think of your sample as an aquarium and your population as the ocean. In statistics, a population is the entire pool from which a statistical sample is drawn. Example: Collecting data from a sample You want to study political attitudes in young people. [Utilizes the count n - 1 in formulas.] Example: doing a survey of travel time by ..... asking everyone at school is a census (of the school).... but asking only 50 randomly chosen people is a sample. Sample vs Population. Let us take a look of population data sets and sample data sets in detail. For example, some people living in India is the sample of the population. The population of all workers working in the sugar factory. 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