The Central Limit Theorem states that if a number of probability distributions are summed,the variance of the sum equals the sum of the variances of individual distributions.

Question

Quizplus · Accepted Answer

The Central Limit Theorem states that if a large number of independent and identically distributed random variables are added, their properly normalized sum tends toward a normal distribution regardless of the underlying distribution. Additionally, the variance of the sum equals the sum of the variances of individual distributions. Therefore, the statement presented in the question is true.

The Central Limit Theorem States That If a Number of Probability