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If the population were not approximately normal, would the confidence interval constructed in part (a) be valid? Explain.The confidence interval constructed in part (a) ▼(Choose one) be valid since the sample size ▼(Choose one) large.

Question

If the population were not approximately normal, would the confidence interval constructed in part (a) be valid? Explain.The confidence interval constructed in part (a) ▼(Choose one) be valid since the sample size ▼(Choose one) large.

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Solution

The validity of the confidence interval constructed in part (a) would depend on the sample size if the population is not approximately normal.

  1. If the sample size is large enough (usually n > 30), according to the Central Limit Theorem, the sampling distribution of the sample mean will be approximately normal regardless of the shape of the population distribution. In this case, the confidence interval would still be valid.

  2. If the sample size is small and the population is not approximately normal, the confidence interval may not be valid. This is because the Central Limit Theorem does not apply, and we cannot assume that the sampling distribution of the sample mean is normal.

So, the confidence interval constructed in part (a) would be valid if the sample size is large, even if the population is not approximately normal. If the sample size is small, the confidence interval may not be valid.

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