The Central Limit Theorem states that the sample mean\(\style{font-family:Times New Roman;}{\overline x}\)is always equal to the population meanμ.
The Central Limit Theorem states that the sampling distribution of the population meanμis approximately normal provided thatn≥ 30.
The Central Limit Theorem states that the sampling distribution of the sample mean\(\style{font-family:Times New Roman;}{\overline x}\)is approximately normal for large sample sizes (n≥ 30).
The Central Limit Theorem states that the sample mean\(\style{font-family:Times New Roman;}{\overline x}\)is equal to the population meanμprovided thatn≥ 30.
Your Opinion
Quick Reply
