# Reference Material

• ### Production Process Characterization (Engineering Statistics Handbook)

This chapter of the NIST Engineering Statistics handbook describes how to do a production process characterization study. It contains an introduction, discussion of the assumptions, information about data collection and analysis, and case studies.
• ### Production Process Characterization Case Studies (Engineering Statistics Handbook)

This part of the NIST Engineering Statistics handbook contains case studies for the production process characterization chapter.
• ### Case Studies in Process Monitoring (Engineering Statistics Handbook)

This part of the NIST Engineering Statistics handbook contains case studies for the process or product monitoring and control chapter.
• ### The Cramer-Rao Lower Bound

This page introduces the Cramer-Rao lower bound, discusses it's usefulness, and proves the inequality.
• ### Teaching with, and preparing guided notes for your lecture

A useful site for instructors to learn how to create and incorporate guided notes into their classroom.
• ### Probability

Here one finds a collection of applets and famous problems in probability (as well as other areas of mathematics such as calculus and geometry). Some of the topics/problems include: Bertrand's Paradox, Birthday Coincidence, Buffon's Needle (Noodle), Lewis Carroll's Problem, Monty Hall Dilemma, Parrondo Paradox, and Three pancakes problem.

• ### Analysis Tool(s): Statistical Tools

This collection of Analysis Tools can assist students and researchers with questions about study desgin, data analysis, and probability. Topics include sample size, power, survival, binomial probabilities, interaction, Fisher's exact test, one and two sample tests, and more.

• ### Markov Chain

This entry in the online encyclopeida, Wikipedia, describes Markov Chains, their properties, discrete state spaces, and formulas for calculating probabilities using Markov Chains. Links to examples and scientific applications are also included.
• ### Probability Sampling

This site describes in detail 5 different types of random sampling, giving examples, definitions, and procedures.
• ### Two-Sample t-Test for Equal Means (Engineering Statistics Handbook)

Gives textbook-like explanation with some real-life data to compute a t-test and determine if two population means are equal. Also has some links for case studies and a web-based program called Dataplot. There is a printer-friendly version on the main homepage (see source).