Ans. The central limit theorem states that when a sample size is sufficiently large, the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the population distribution. This theorem is crucial in statistical inference as it allows us to use the normal distribution for making inferences about the population mean.