Which statements regarding the implications of the central limit theorem are true? For an infinite number of samples, 95% of the sample means would fall within the interval .
As the number of sample means decreases, the means get closer to a standard normal distribution.
If the population is normally distributed, then the mean of a sample from that population will be normally distributed.
For an infinite number of samples, 99.7% of the sample means would fall within the interval .
The central limit theorem holds true only for populations that are normally distributed.
The mean of the population is the same as the mean of any sample taken from the population.