e central limit theorem tells us (select all that apply ) - that the population of a sample means an be regarded as normal no matter what the sample size is - that as long as the sample size is greater than 30, the parent population can be assumed about normal -that as long as the sample size is greater than 30, the distribution of the sample means is about normal -that no matter what
The central limit theorem tells us (select all that apply )
- that the population of a sample means an be regarded as normal no matter what the
- that as long as the sample size is greater than 30, the parent population can be assumed about normal
-that as long as the sample size is greater than 30, the distribution of the sample means is about normal
-that no matter what the parent population looks like the distribution of the sample means can be assumed to be normal
According to the central limit theorem, if the sample size is sufficiently large, i.e., the sample size is equal to 30 or greater than 30, the sampling distribution of the mean approaches approximate to normal distribution. The shape of the population distribution will be approximately normal as long as the sample size n is large enough.
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