Quantitative Methods Questions
The central limit theorem in statistics states that when independent random variables are added, their sum tends to follow a normal distribution, regardless of the shape of the original variables' distribution. This theorem is important because it allows us to make inferences about a population based on a sample, assuming certain conditions are met. It is a fundamental concept in statistical analysis and hypothesis testing.