The Central Limit Theorem is important in statistics. Group of answer choices a-The central limit theorem states that if a sample of data is large enough, the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. b-The central limit theorem states that when a sample size is large, the population is approximately normal. c- The central limit theorem states that the sampling distribution of the sample mean is approximately normal whenever the population is large enough. d-lf a representative sample of observations is drawn from a normally shaped population, the sampling distribution of the sample mean will follow a normal distribution regardless of the sample's size.

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The Central Limit Theorem is important in
statistics.
Group of answer choices
a-The central limit theorem states that if a
sample of data is large enough, the sampling
distribution of the sample mean is
approximately normal, regardless of the
shape of the population.
b-The central limit theorem states that when
a sample size is large, the population is
approximately normal.
c- The central limit theorem states that the
sampling distribution of the sample mean is
approximately normal whenever the
population is large enough.
d-lf a representative sample of observations
is drawn from a normally shaped population,
the sampling distribution of the sample
mean will follow a normal distribution
regardless of the sample's size.
Transcribed Image Text:The Central Limit Theorem is important in statistics. Group of answer choices a-The central limit theorem states that if a sample of data is large enough, the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. b-The central limit theorem states that when a sample size is large, the population is approximately normal. c- The central limit theorem states that the sampling distribution of the sample mean is approximately normal whenever the population is large enough. d-lf a representative sample of observations is drawn from a normally shaped population, the sampling distribution of the sample mean will follow a normal distribution regardless of the sample's size.
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