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Created on: June 26, 2009 Last Updated: June 27, 2009
Data sampling is used to learn more about people such as consumers, events such as consumer spending, and information such as how much a consumer spends. In other words, data sampling is the acquisition of recorded numbers, information, facts or events in the form of a data set or multiple data sets. This data set is the data sample that is used in obtaining statistical answers for questions. Data can be collected in a number of ways, one of which is the sample method. Other methods of data collection include
data mining, aggregate data gathering, random sampling, and qualitative research. This article will discuss data collection by sampling in terms of 1) its objectives, 2) how it can be done and 3) how it is analyzed.
OBJECTIVES OF DATA SAMPLING COLLECTION:
Data sampling attempts to achieve some core objectives relevant to the statistical study in question. Specifically, sample data is utilized in a number of disciplines/fields to learn more about the subject. Moreover, in marketing, sample data may be used to learn more about people's behavior, choices, and actions for the purpose of improving marketing techniques and goals. The points listed below indicate some of the ways sample data can be used to determine.
* Information about a larger sample or population group
* Relationships between events, things or actions with other things, events or actions
* Identification of trends and patterns
* Grouping of sample data for categorization
* Analysis for research evidence and/or verification
* Functionality of software analysis tools
AN ILLUSTRATION OF DATA SAMPLING:
Data sampling can be analyzed and implemented in a number of ways as we have seen. However, how this is done can vary so an illustration of how sample data is gathered and studied can be helpful. In the following hypothetical example, 1000 people are asked to partake in a statistical study. The study attempts to achieve market research into the juice flavor preferences of the 1000 people who are of different ages, gender and cultural background. To do this the following steps are taken:
* Create a simple survey with a few questions that can be used in the sample analysis
* Locate a suitable population sample from which to gather the data
* Of that population recruit 1000 of them to participate in the survey study
* Perform the research by having the population sample fill out the survey
* Analyze the data using statistical tools, software and/or techniques
* Draw conclusions based on the evidence presented by
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Basic statistical concepts: Data collection by sampling method
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