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Sampling and Estimation Techniques by Christian Suryadi is a document available to read on EtoBox.

This document discusses sampling and estimation techniques. It explains that taking a sufficiently large, representative sample can provide reasonably good estimates of population parameters. It also describes properties of the normal distribution and how the central limit theorem allows using a normal distribution to analyze sample means. Confidence intervals estimate the range where the true population mean is likely to fall based on a sample

Author
Christian Suryadi
Language
EN