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For a 95% Confidence Level, Using the Boundaries That Capture

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For a 95% confidence level, using the boundaries that capture the middle 95% of the simulated bootstrap distribution is equivalent to determining the endpoints of a confidence interval, which is represented as For a 95% confidence level, using the boundaries that capture the middle 95% of the simulated bootstrap distribution is equivalent to determining the endpoints of a confidence interval, which is represented as minus a number and plus a number. For bootstrap confidence intervals, the number subtracted from and the number added to are the same. minus a number and For a 95% confidence level, using the boundaries that capture the middle 95% of the simulated bootstrap distribution is equivalent to determining the endpoints of a confidence interval, which is represented as minus a number and plus a number. For bootstrap confidence intervals, the number subtracted from and the number added to are the same. plus a number. For bootstrap confidence intervals, the number subtracted from For a 95% confidence level, using the boundaries that capture the middle 95% of the simulated bootstrap distribution is equivalent to determining the endpoints of a confidence interval, which is represented as minus a number and plus a number. For bootstrap confidence intervals, the number subtracted from and the number added to are the same. and the number added to For a 95% confidence level, using the boundaries that capture the middle 95% of the simulated bootstrap distribution is equivalent to determining the endpoints of a confidence interval, which is represented as minus a number and plus a number. For bootstrap confidence intervals, the number subtracted from and the number added to are the same. are the same.

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