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What does it mean that for a confidence level of 99%, an interval of 5 and a population of 1 000 000, you would need

What does it mean that for a confidence level of 99%, an interval of 5 and a population of 1 000 000, you would need a sample of 665?

Can you explain the relationship between population size, sample size, confidence level and confidence interval? For example, if confidence level goes down, what happens to the sample size? If the population goes up?

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