One miraculous statistical fact is that if E[Yi] is indeed equal to μ, then—as long as the sample is large enough—the quantity t(μ) has a sampling distribution that is very close to a bell-shaped standard normal distribution, sketched in Figure 1.1. This property, which applies regardless of whether Yi itself is normally distributed, is called the Central Limit Theorem (CLT).
