Please review my response and augment as needed. Trying to keep my response in layman's terms.

Central Limit Theorem: When presenting a hypothesis testing case (null and alternative hypothesis) our boss believes your sample size of 60 is is not large enough to draw any meaningful conclusions. Explain why you disagree with his premise.

Central Limit Theorem holds that, for any sample size over 30, each incremental observation brings the sample mean closer to the population mean, indicating that data is normally distributed. With a sample size of 60, the sample is indeed large enough to fit a normal distribution and allows us to draw meaningful conclusions via inferential statistics and hypothesis testing.