What is the practical utility of the central limit theorem in applied statistics?  

The Central Limit Theorem (CLT) is a fundamental concept in statistics with immense practical utility in various fields of applied statistics. It is a statistical theorem that describes the distribution of sample means from a population, and its practical applications are widespread. Here, we'll explore the practical utility of the CLT in applied statistics.

1. Estimation and Confidence Intervals: One of the most common applications of the CLT is in estimating population parameters, such as the population mean or proportion. When we have a sufficiently large sample size, the CLT tells us that the distribution of sample means will approximate a normal distribution, regardless of the ___ ____ __________ ________ __________ ____ ____ ________ _________.
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