13. Confidence Interval around estimating Population Mean using Central Limit Theorem
The lecture reinforces the practical application of Central Limit Theorem to generate an interval estimate around a population estimate using the variance in the extracted sample.
We apply the properties of the Central Limit Theorem and a normal distribution to use the Z table alongwith the standard error of the mean to estimate 90/95/99 % or any other range Confidence Intervals around estimate of population mean.
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