# Other

• ### Binomial Probability Model

This resource defines and explains binomial probability, including examples and exercises for the learner.
• ### Statistical Education through Problem Solving

This resource includes problem-based teaching and learning materials for statistics that are based around specific problems arising in biology, business, geography and psychology. The STEPS modules are intended to be used as problem-based lab material that may support existing coursework.
• ### Data Collection: American FactFinder

This resource presents population, housing, economic, and geographic data. (U.S. Census Bureau)
• ### Random: Probability, Mathematical Statistics, and Stochastic Processes Site

Random is a website devoted to probability, mathematical statistics, and stochastic processes, and is intended for teachers and students of these subjects. The site consists of an integrated set of components that includes expository text, interactive web apps, data sets, biographical sketches, and an object library.

• ### The First Day of Class

This one-page document gives some helpful tips about the first day of class. It gives short advice on creating a first impression, establishing rapport, clarifying expectations, collecting information and building excitement.
• ### Designing Tests To Maximize Learning

This one-page document gives advice on how to construct and give exams. It focuses on making exams a positive experience for both instructors and students. It is written by Rich Felder an expert in Engineering education.
• ### Beating The Numbers Game: Effective Teaching In Large Classes

This one-page document gives advice on how to handle large classes. Specific items it examines include creating an interactive lecture, handing out of class assignments, and miscellaneous tips. It is written by Rich Felder an expert in Engineering education.
• ### Mean and Median

This applet allows students to manipulate a histogram and observe changes in the mean and median. The site includes links to exercises and descriptions of measures of center and spread.
• ### 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.