The Central Limit Theorem (CLT) states that for a sufficiently large sample size, the sampling distribution of the sample mean approaches a normal distribution, regardless of the population’s distribution. Typically, a sample size of \(n \geq 30\) is considered sufficient for the CLT to hold true in practice.
Thus, the correct answer is \(n \geq 30\).