Resource Library

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.

The Marble Game is a "concept model" demonstrating how a binomial distribution evolves from the occurence of a large number of dichotomous events. The more events (marble bounces) that occur, the smoother the distribution becomes.

This is an exercise in interpreting data that is generated by a phenomenon that causes the data to become biased. You are presented with the end product of this series of events. The craters occur in size classes that are color-coded. After generating the series of impacts, it becomes your assigned task to figure out how many impact craters correspond to each of the size class categories.

This website contains more real analysis, general topology and measure theory than actual probability. It is more about the foundations of probability theory, than probability itself. In particular, it is a very suitable resource for anyone wishing to study the Lebesgue integral. These tutorials are designed as a set of simple exercises, leading gradually to the establishment of deeper results. Proved Theorems, as well as clear Definitions are spelt out for future reference. These tutorials do not contain any formal proof: instead, they will offer you the means of proving everything yourself. However, for those who need more help, Solutions to exercises are provided, and can be downloaded.

This Java applet tutorial prompts the user to input the components of a hypothesis test for the mean. Hints are provided whenever the user enters an incorrect value. Once the steps are completed and the user has chosen the correct conclusion for accepting or rejecting the null hypothesis, a statement summarizing the conclusion is displayed. The applet is supported by an explanation of the steps in hypothesis testing and a description of one-tailed and two-tailed tests.