{"id":65187,"date":"2018-11-12T04:22:54","date_gmt":"2018-11-12T12:22:54","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=65187"},"modified":"2025-05-23T15:51:36","modified_gmt":"2025-05-23T22:51:36","slug":"sample","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/sample\/","title":{"rendered":"What is a Sample: Definition, Types, Formula & Examples"},"content":{"rendered":"\n

How often do researchers look for the right survey respondents, either for a market research study or an existing survey in the field? The sample or the respondents of this research may be selected from a set of customers or users that are known or unknown.<\/span><\/p>\n\n\n\n

You may often know your typical respondent profile but don’t have access to the respondents to complete your research study. At such times, researchers and research teams reach out to specialized organizations to access their panel of respondents or buy respondents from them to complete research studies and surveys.<\/span><\/p>\n\n\n\n

These could be general population respondents that match demographic criteria or respondents based on specific criteria. Such respondents are imperative to the success of research studies.<\/span><\/p>\n\n\n\n

This article discusses in detail the different types of samples, sampling methods<\/a>, and examples of each. It also mentions the steps to calculate the size, the details of an online sample, and the advantages of using them.<\/span><\/p>\n\n\n\n

Content Index<\/strong><\/h4>\n\n\n\n
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  1. What is a sample?<\/a><\/li>\n\n\n\n
  2. Types of samples: Sample selection methodologies with examples<\/a>\n
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    1. Probability sampling methodologies with examples<\/a><\/li>\n\n\n\n
    2. Non-probability sampling methodologies with examples<\/a><\/li>\n<\/ol>\n<\/li>\n\n\n\n
    3. How to determine a sample size<\/a><\/li>\n\n\n\n
    4. Calculating sample size<\/a><\/li>\n\n\n\n
    5. Sampling advantages<\/a><\/li>\n<\/ol>\n\n\n\n

      What is a Sample?<\/b><\/h2>\n\n\n\n

      A sample is a smaller set of data that a researcher chooses or selects from a larger population using a pre-defined selection bias<\/a> method. These elements are known as sample points, sampling units, or observations.<\/span><\/p>\n\n\n\n

      Creating a sample is an efficient method of conducting<\/span> research<\/span><\/a>. Researching the whole population is often impossible, costly, and time-consuming. Hence, examining the sample provides insights the researcher can apply to the entire population.<\/span><\/p>\n\n\n\n

      For example, if a cell phone manufacturer wants to conduct a feature research study among students in US Universities. An in-depth research study must be conducted if the researcher is looking for features that the students use, features they would like to see, and the price they are willing to pay.<\/span><\/p>\n\n\n\n

      This step is imperative to understand the features that need development, the features that require an upgrade, the device’s pricing, and the go-to-market strategy.<\/span><\/p>\n\n\n\n

      In 2016\/17 alone, there were 24.7 million students enrolled in universities across the US. It is impossible to research all these students; the time spent would make the new device redundant, and the money spent on development would render the study useless.<\/span><\/p>\n\n\n\n

      Creating a sample of universities by geographical location and further creating a sample of these students from these universities provides a large enough number of students for research.<\/span><\/p>\n\n\n\n

      Typically, the population for<\/span> market research<\/span><\/a> is enormous. Making an enumeration of the whole population is practically impossible. The sample usually represents a manageable size of this population. Researchers then collect data from these samples through surveys, polls, and questionnaires and extrapolate this data analysis to the broader community.<\/span><\/p>\n\n\n\n

      LEARN ABOUT:<\/strong> Survey Sampling<\/a><\/p>\n\n\n\n

      Types of Samples: Selection methodologies with examples<\/b><\/h2>\n\n\n\n

      The process of deriving a sample is called a sampling method. Sampling forms an integral part of the research design<\/a> as this method derives the quantitative and qualitative data that can be collected as part of a research study.<\/span> Sampling methods<\/span><\/a> are characterized into two distinct approaches: probability sampling and non-probability sampling.<\/span><\/p>\n\n\n\n

      Probability sampling methodologies with examples<\/b><\/h3>\n\n\n\n

      Probability sampling<\/span><\/a> is a method of deriving a sample where the objects are selected from a population-based on probability theory. This method includes everyone in the population, and everyone has an equal chance of being selected. Hence, there is no bias whatsoever in this type of sample.<\/span><\/p>\n\n\n\n

      Each person in the population can subsequently be a part of the research. The selection criteria are decided at the outset of the market research study and form an important component of research.<\/span><\/p>\n\n\n\n

      LEARN ABOUT:<\/strong> Action Research<\/a><\/p>\n\n\n\n

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      Probability sampling can be further classified into four distinct types of samples. They are:<\/span><\/p>\n\n\n\n