STAT 270 Lecture 30: 5.6 Central Limit Theorem

Briefly explain the central limit theorem.

1.  The central limit theorem implies that sampling with an adequate sample size provides good estimates of population parameters.

(a) True 

(b) False 

2. It is often not feasible to study the entire population because it is impossible to observe all the items in the population.

(a) Ture 

(b) False

These are some homework questions that I do not have time to solve. They are based on chapters 4 thru 7 (discrete probability, continuous variables, Normal distribution and Central Limit theorem)
Please send me the solution as soon as possible. She also wants to see calculuations/ work when neccessary or justication for the answers.