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Estimation and Confidence Intervals Explained by Sukanya Das is a document available to read on EtoBox.

The document discusses statistical inference, focusing on estimation and confidence intervals (CIs) as methods to generalize findings from a sample to a population. It explains key concepts such as population, parameter, sample, statistic, and the importance of sampling distributions and the Central Limit Theorem in constructing CIs. Additionally, it outlines how to calculate CIs, interpret confidence levels, and the factors affecting the accuracy and width of these intervals.

Author
Sukanya Das
Language
EN