A sample of size =n92 is drawn from a normal population whose standard deviation is =σ5.1. The sample mean is =x35.33.Part 1 of 2(a) Construct a 99.9% confidence interval for μ. Round the answer to at least two decimal places.A 99.9% confidence interval for the mean is 33.58<<μ37.08.Part: 1 / 21 of 2 Parts CompletePart 2 of 2(b) 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) larg
Question
A sample of size =n92 is drawn from a normal population whose standard deviation is =σ5.1. The sample mean is =x35.33.Part 1 of 2(a) Construct a 99.9% confidence interval for μ. Round the answer to at least two decimal places.A 99.9% confidence interval for the mean is 33.58<<μ37.08.Part: 1 / 21 of 2 Parts CompletePart 2 of 2(b) 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) larg
Solution
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Part 1 of 2(a) To construct a 99.9% confidence interval for μ, we use the formula:
x̄ ± Z * (σ/√n)
where: x̄ is the sample mean, Z is the Z-score (which is 3.29 for a 99.9% confidence interval), σ is the standard deviation of the population, and n is the sample size.
Substituting the given values:
35.33 ± 3.29 * (5.1/√92)
This gives us the 99.9% confidence interval for the mean, which is approximately (33.58, 37.08).
Part 2 of 2(b) The confidence interval constructed in part (a) would not be valid if the population were not approximately normal. The Central Limit Theorem, which allows us to make these calculations, only applies if the population is approximately normal or if the sample size is large (usually n > 30). Since the population is not approximately normal, we cannot rely on the Central Limit Theorem, and thus the confidence interval may not be valid.
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