Campbell's Theorem

Campbell's Theorem is a principle in statistics that helps us understand how to draw conclusions about a population based on a sample. It states that, under certain conditions, the distribution of sample means (averages) approaches a normal distribution as the sample size increases, regardless of the original population's distribution. This means that even if the data is skewed or uneven, the averages of larger samples will tend to form a bell curve, making it easier to make predictions and decisions based on the data we collect. This theorem is foundational in fields like economics, psychology, and social sciences.