Statistical Intervals for a Single Sample
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
Introduction
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 ...
Get Applied Statistics and Probability for Engineers, 6th Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
