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Just as we had one-sided and two-sided p-values, we can define one-sided as well as two-sided confidence intervals. A one-sided confidence interval has the form (L, ∞) or (-∞, L) for some value L computed from the sample data. Just as for two-sided confidence intervals, we want the coverage rate to match the confidence level. Suppose we have a sample of size = 25 with mean = 10 drawn from a population with σ = 3. Calculate the two one-sided 95% confidence intervals.

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