They've never helped me understand the material, but were the most frustrating part of my classes. Just give us stats for dummies and that's all we need.
Proofs in stats classes

Here's how Wikipedia describes it
"In probability theory, the central limit theorem (CLT) establishes that, in most situations, when independent random variables are added, their properly normalized sum tends toward a normal distribution (a bell curve) even if the original variables themselves are not normally distributed. The theorem is a key concept in probability theory because it implies that probabilistic and statistical methods that work for normal distributions can be applicable to many problems involving other types of distributions."
That's pretty much what I remember. At some point I learned or listened to the proof, but I forgot it instantly. Tell me it's been proved and I'll believe you, I trust mathematicians, unlike other academics.
Teaching poll sci students proofs is like trying to teach a mechanic the physics of combustion. Unnecessary, a waste of of time, with little to no payoff.
They've never helped me understand the material, but were the most frustrating part of my classes. Just give us stats for dummies and that's all we need.
How can you understand the concept of standard deviation/error without the Central Limit Theorem?