Answered

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Why are sample and population confidence intervals calculated differently?.

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Answer:

Confidence intervals are always calculated from a sample.there are really no such things as sample or population confidence intervals.

Explanation:

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A confidence interval for a population mean, is the population standard deviation based on the conclusion. The sampling distribution of the sample means being an approximately normal distribution.

Why are sample and population confidence intervals calculated differently?

Basically, sample is the subgroup of population. Though, samples are reprsentatives of population but sometimes they show totally different error which may be the result of sampling error.

Therefore, sample and population confidence intervals calculated differently.

learn more about confidence intervals: https://brainly.com/question/15712887

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