Sampling
Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined. It enables data scientists, predictive modelers and other data analysts to work with a small, manageable amount of data about a statistical population to build and run analytical models more quickly, while still producing accurate findings.
References
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It’s important to be aware of the potential dangers of sampling and negative financial impact it can have on your organisation.🔗Digital Analytics Blog -
In this article, we will show you what data sampling is and help you understand when it works well and when it doesn’t.🔗Piwik PRO -
Data Sampling is the selection of statistical samples from the population to estimate the characteristics of entire population.🔗Six Sigma Study Guide -
Learn how data sampling plays a crucial role in determining the validity of an outcome in statistical analysis.🔗egnyte.com -
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A sample is a smaller, manageable version of a larger group. Samples are used in statistical testing when population sizes are too large.🔗Investopedia -
Discover how data sampling can simplify data analysis. Explore various sampling methods, typical sampling errors and the steps involved in the process.🔗Business Analytics -
