Question

question 1 (1 point)
the central limit theorem says
when n<30, the original population will be approximately a normal distribution.
when n>30, the sampling distribution of \\(\overline{x}\\) will be approximately a normal distribution.
when n>30, the original population will be approximately a normal distribution.
when n<30, the sampling distribution of \\(\overline{x}\\) will be approximately a normal distribution.

Explanation:

The Central Limit Theorem states that when the sample size $n > 30$, the sampling distribution of the sample - mean $\bar{x}$ will be approximately a normal distribution, regardless of the shape of the original population distribution.

Answer:

When n>30, the sampling distribution of $\bar{x}$ will be approximately a normal distribution.