The Central Limit Theorem (CLT) is an important idea in statistics, but it can be tricky to understand.

1. Limitations:

   • You need a big enough sample size, usually at least 30 people or items, for the results to make sense.
   • It can be affected by outliers, which are unusual or extreme values that can change the results a lot.

2. Potential Solutions:

   • Use bigger samples to help reduce mistakes in your data.
   • Use strong statistical methods to deal with outliers properly.

Even though it has its challenges, knowing about the CLT is very important. It helps us make better guesses about averages and proportions.