Population vs Sample – the differenceThe concept of population vs sample is an important one, for every researcher to comprehend. Understanding the difference between a given population and a sample is easy. You must remember one fundamental law of statistics: A sample is always a smaller group (subset) within the population. Show
In market research and statistics, every study has an essential inquiry at hand. Observation and experiment of a sample of the population determine the result of this inquiry. It is done to derive insights that explain a phenomenon within the whole population. Select your respondents What is the ‘population’ in market research?Definition: Population in research is a complete set of elements that possess a standard parameter between them. We are all aware of what the word ‘population’ means in our everyday life. Frequently it is used to describe the human population or the total number of people living in a geographic area of our country or state. The ‘population’ in research doesn’t necessarily have to be human. It can be any parameter of data that possesses a common trait. Example: The total number of ‘Pet’ Stores on Sunset Boulevard in Los Angeles, California. What is a sample in market research?Definition: A sample is a smaller part of the whole, i.e., a subset of the entire population. It is representative of the population in a study. When conducting surveys, the sample is the members of the population who are invited to participate in the survey. Hence said, a sample is a subgroup or subset within the population. This sample can be studied to investigate the characteristics or behavior of the entire population data. Samples of data are created using various research methods like probability sampling and non-probability sampling. Sampling methods vary according to research types, based on the kind of inquiry and the quality of information required. Example: A cat food company would like to know all the pet stores where it can sell its canned fish. The company has population data on the total number of pet stores on Sunset Boulevard. This pet food manufacturer can now create an online research sample by only selecting the pet stores that sell cat food. The data characteristics are studied. The results are displayed in statistics and reports analyzed for business insights. Using data from the sample, the company can uncover ways to grow its business into the total population of pet stores. Here are the most common sampling techniques:Sampling techniques are broadly classified as two types:
How to choose high-quality samples:Although we make sure that all the members of a population have an equal chance to be included in the sample, it does not mean that the samples derived from a particular population and satisfying the criterion will be alike. They will still vary from one another. This variation can be slight or substantial. For example, a set of samples of healthy people’s body temperature will show a very less difference. But the difference in these people’s systolic blood pressure would be sizeable. It is also observed that the accuracy of the data depends on the size of the sample. The accuracy is much lesser with a smaller sample size compared to using a larger sample for the study. Thus, if two, three or more samples are derived from a population, the bigger they are, the more they tend to resemble each other. Population vs Sample – top seven reasons to choose a sample from a given populationSampling is a must to conduct any research study. Here are the top seven reasons to use a sample:
Select your respondents Population vs Sample – What is the difference?Usually, a sample of the population is used in research, as it is easier and cost-effective to process a smaller subset of the population rather than the entire group. In this table, we can take a closer look at the difference between sample and population:
Although Population and Sample are two different terms, they both are related to each other. The population is used to draw samples. To make statistical inferences about the population is the primary purpose of the sample. Without the population, samples can’t exist. The better the quality of the sample, the higher the level of accuracy of generalization. Right sampling is essential to conduct insightful market research. Explore quality samples with QuestionPro Audience. What is population with example?It can be a group of individuals, objects, events, organizations, etc. You use populations to draw conclusions. Figure 1: Population. An example of a population would be the entire student body at a school. It would contain all the students who study in that school at the time of data collection.
What is sample with example?Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students. In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
What are 2 examples of population?In general, we define a population as a group of people inhabiting a territory. Example-American population, Indian population, Chinese population, the general population of a city, etc.
What is an example of population sampling?For example, a researcher intends to collect a systematic sample of 500 people in a population of 5000. He/she numbers each element of the population from 1-5000 and will choose every 10th individual to be a part of the sample (Total population/ Sample Size = 5000/500 = 10).
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