The central limit theorem States that if I have a large number of samples from a
ID: 2932956 • Letter: T
Question
The central limit theorem States that if I have a large number of samples from a population the means of the sample of form a normal distribution matter what the distribution of the normal population is. Why is this important? It allows us to generalize from a sample to the population. It means that all distributions are generally normal distributions. It proves that all samples are good indicators of the population. It means that for researchers can reliably generalize from even small samples a full pot The central limit theorem States that if I have a large number of samples from a population the means of the sample of form a normal distribution matter what the distribution of the normal population is. Why is this important? It allows us to generalize from a sample to the population. It means that all distributions are generally normal distributions. It proves that all samples are good indicators of the population. It means that for researchers can reliably generalize from even small samples a full potExplanation / Answer
The correct option is:
"It allows us to generalize from a sample to the population."
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