Chapter Outline

8-1 Confidence Interval on the Mean of a Normal Distribution, Variance Known

8-1.1 Development of the Confidence Interval and Its Basic Properties

8-1.3 One-Sided Confidence Bounds

8-1.4 General Method to Derive a Confidence Interval

8-1.5 Large-Sample Confidence Interval for μ

8-2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown

8-2.2 Confidence Interval on μ

8-3 Confidence Interval on the Variance And Standard Deviation of a Normal Distribution

8-4 Large-Sample Confidence Interval for a Population Proportion

8-5 Guidelines for Constructing Confidence Intervals

8-6 Bootstrap Confidence Interval

8-7 Tolerance and Prediction intervals

Engineers are often involved in estimating parameters. For example, there is an ASTM Standard E23 that defines a technique called the *Charpy V-notch method for notched bar impact testing* of metallic materials. The impact energy is often used to determine whether the material experiences a ductile-to-brittle transition as the temperature decreases. Suppose that we have tested a sample of 10 specimens of a ...

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