Our sample size criterion for applying the central limit theorem if the population may not be normal is
A) $n \geq 30$.
B) $n \geq 0.05 \mathrm{~N}$.
C) $n

Question

Our sample size criterion for applying the central limit theorem if the population may not be normal is
A) $n \geq 30$.
B) $n \geq 0.05 \mathrm{~N}$.
C) $n<0.05 \mathrm{~N}$.
D) $n \geq 5$.

Quizplus · Accepted Answer

The central limit theorem states that, for sufficiently large sample sizes (usually $n \geq 30$), the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the population distribution.

Our Sample Size Criterion for Applying the Central Limit Theorem n≥30n \geq 30n≥30

Our Sample Size Criterion for Applying the Central Limit Theorem $n \geq 30$