Resource Library

This chapter of the NIST Engineering Statistics handbook presents information on the statistical modeling of an engineering process. It contains an introduction, discussion of the assumptions, information about data collection and analysis, a discussion of what can be concluded from different process models, and case studies.

This chapter of the NIST Engineering Statistics handbook provides information on the proper design of experiments. It contains an introduction, a discussion of assumptions, a description of different design types, a discussion of the analysis of data, and case studies.

This part of the NIST Engineering Statistics handbook contains case studies for the process improvement chapter, which deals with design of experiments.

This chapter of the NIST Engineering Statistics handbook "presents techniques for monitoring and controlling processes and signaling when corrective actions are necessary." It contains an introduction to process control, a discussion of acceptance sampling, introductions to control charts and time series modeling, tutorials for background information, and case studies.

This part of the NIST Engineering Statistics handbook contains case studies for the process or product monitoring and control chapter.

This chapter of the NIST Engineering Statistics handbook "presents the background and specific analysis techniques needed to compare the performance of one or more processes against known standards or one another." It contains an introduction and information about comparisons with one process, two processes, and three or more processes or samples. Topics include outliers, trends, confidence intervals for means and proportions for one sample. Also included are materials on ANOVA, Kruskal Wallis tests, tests for equivalence of variances, variance components, chi-square tests for contingency tables and multiple comparisons.

This chapter of the NIST Engineering Statistics handbook "describes the terms, models and techniques used to evaluate and predict product reliability." It contains an introduction, discussions on the assumptions, and sections on reliability data collection and analysis.

The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible.

This site provides a PowerPoint presentation of a lesson and examples of relative risks and odds ratios.

Tips for helping students to take more effective notes during lecture.