asked 227k views
2 votes
The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on what?

1) Central Limit Theorem
2) Law of Large Numbers
3) Standard Deviation
4) Confidence Interval

asked
User Basem
by
8.9k points

1 Answer

4 votes

Final answer:

The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the Central Limit Theorem.

Step-by-step explanation:

The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the Central Limit Theorem. The Central Limit Theorem states that if samples of sufficient size are drawn from a population, the distribution of sample means will be normal, even if the distribution of the population is not normal.

answered
User Hemant Shori
by
7.7k points
Welcome to Qamnty — a place to ask, share, and grow together. Join our community and get real answers from real people.